A method and apparatus for identifying potential movement paths in animals

Abstract

This invention provides a method and apparatus for identifying potential animal movement paths, belonging to the field of animal protection technology. The method, based on environmental factors of the target area and the habitat selection strategies of the target species, utilizes the distribution surface of habitat suitability to replace the elevation model, and employs hydrological analysis to reproduce the water flow process on the land surface. This process identifies potential animal movement paths within the habitat and generates potential movement paths for the target species within the target area. The above process does not rely on animal movement data and has the advantages of high operability and high reliability, enabling animal corridors constructed based on potential animal movement paths to achieve the expected animal protection effects.

Description

Technical Field

[0001] This invention relates to the field of animal protection technology, and in particular to a method and apparatus for identifying potential animal movement paths. Background Technology

[0002] Animal access routes (such as culverts, covered bridges, and underpasses) refer to engineering measures that mitigate habitat fragmentation and reduce the risk of roadkill. Constructing well-located animal access routes by utilizing potential animal movement paths can improve animal conservation outcomes.

[0003] However, currently used methods for identifying potential animal movement paths have drawbacks such as high dependence on animal movement data, low operability, and low reliability, which makes it impossible for animal channels constructed based on potential animal movement paths to achieve the expected animal protection effect. Summary of the Invention

[0004] This invention proposes a method and apparatus for identifying potential animal movement paths. Based on environmental factors of the target area and the habitat selection strategy of the target species, it can generate the area where the potential movement path of the target species is located within the target area. The above process does not rely on animal movement data and has the advantages of high operability and high reliability, so that the animal corridors constructed based on potential animal movement paths can achieve the expected animal protection effect.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for identifying potential animal movement paths, comprising: acquiring multiple environmental factors of a target area; determining a habitat suitability index of the target area based on the habitat selection strategy of a target species within the target area and the multiple environmental factors; the habitat selection strategy indicates the behavioral rules of animals in the face of environmental changes; the habitat suitability index of the target area includes the habitat suitability index of each of the multiple sub-regions contained within the target area; further determining the region where the potential movement path of the target species is located within the target area based on the habitat suitability index; the potential movement path is determined by the convergence accumulation of each of the multiple sub-regions; the convergence accumulation is obtained by inverse value transformation, flow direction calculation, and convergence accumulation calculation of the habitat suitability index.

[0006] In one implementation of the first aspect, based on the habitat selection strategy of the target species within the target area and multiple environmental factors, a habitat suitability index for the target area is determined. This includes: for each of the multiple sub-regions included in the target area, according to the habitat selection strategy of the target species, assigning a graded value to each of the multiple environmental factors within the sub-region to obtain the suitability level of each of the multiple environmental factors for the target species within the sub-region; constructing an importance judgment matrix for the multiple environmental factors within the sub-region, calculating the normalized eigenvector of the judgment matrix, and performing a consistency check on the normalized eigenvector to obtain the weight of each of the multiple environmental factors within the sub-region; weighted summing of the suitability level and weight of each of the multiple environmental factors within the sub-region to obtain the habitat suitability index of the sub-region; and integrating the habitat suitability indices of each sub-region within the multiple sub-regions to obtain the habitat suitability index of the target area.

[0007] In one implementation of the first aspect, the potential movement paths of the target species within the target area are determined based on the habitat suitability index of the target area. This includes: performing an inverse transformation on the habitat suitability index of the target area to obtain the movement resistance of the target area; the movement resistance of the target area includes the movement resistance of each of the multiple sub-regions within the target area. The movement resistance of the target area is then calculated by filling depressions, calculating flow direction, and performing confluence accumulation calculations to obtain the convergence accumulation amount of each of the multiple sub-regions within the target area. The sub-regions whose convergence accumulation amounts satisfy the accumulation conditions are identified as the potential movement paths of the target species.

[0008] In one implementation of the first aspect, the accumulation condition is that the aggregated cumulative amount is greater than the accumulation threshold or the aggregated cumulative amount is within the first arrangement range of the aggregated cumulative amounts of all sub-regions in the target region.

[0009] In one implementation of the first aspect, multiple environmental factors include land cover type, normalized difference vegetation index, altitude, slope, distance to water source, and distance to human disturbance. Habitat selection strategies indicate the degree of preference of target species for these multiple environmental factors.

[0010] Secondly, the present invention provides a device for identifying potential animal movement paths, including an acquisition module, a habitat suitability index determination module, and a potential movement path determination module. The acquisition module is used to acquire multiple environmental factors of a target area. The habitat suitability index determination module is used to determine the habitat suitability index of the target area based on the habitat selection strategy of the target species within the target area and the multiple environmental factors; the habitat selection strategy indicates the behavioral rules of animals in the face of environmental changes; the habitat suitability index of the target area includes the habitat suitability index of each of the multiple sub-regions contained within the target area. The potential movement path determination module is used to determine the area where the potential movement path of the target species is located within the target area according to the habitat suitability index of the target area; the potential movement path is determined by the convergence accumulation of each of the multiple sub-regions; the convergence accumulation is obtained by inverse value transformation, flow direction calculation, and convergence accumulation calculation of the habitat suitability index.

[0011] In one implementation of the second aspect, the habitat suitability index determination module is specifically used to: for each of the multiple sub-regions contained in the target area, assign a graded value to each of the multiple environmental factors within the sub-region according to the target species' habitat selection strategy, thereby obtaining the suitability level of each of the multiple environmental factors within the sub-region for the target species; construct an importance judgment matrix for the multiple environmental factors within the sub-region, calculate the normalized eigenvector of the judgment matrix, and perform a consistency check on the normalized eigenvector to obtain the weight of each of the multiple environmental factors within the sub-region; perform a weighted summation of the suitability level and weight of each of the multiple environmental factors within the sub-region to obtain the habitat suitability index of the sub-region; and integrate the habitat suitability indices of each sub-region across multiple sub-regions to obtain the habitat suitability index of the target area.

[0012] In one implementation of the second aspect, the potential movement path determination module is specifically used to perform an inverse transformation on the habitat suitability index of the target area to obtain the movement resistance of the target area. The movement resistance of the target area includes the movement resistance of each of the multiple sub-regions within the target area. The movement resistance of the target area is then used to perform depression filling, flow direction calculation, and confluence accumulation calculation to obtain the convergence accumulation amount of each of the multiple sub-regions within the target area. The sub-regions whose convergence accumulation amounts satisfy the accumulation conditions are identified as the areas where the potential movement path of the target species is located.

[0013] Thirdly, the present invention provides an electronic device including a processor and a memory coupled to the processor; the memory is used to store computer instructions, and when the electronic device is running, the processor executes the computer instructions stored in the memory to cause the electronic device to perform the method described in the first aspect above or any implementation thereof.

[0014] Fourthly, the present invention provides a computer-readable storage medium including computer program instructions that, when executed by a computer, cause the computer to perform the method described in the first aspect above or any implementation thereof.

[0015] Fifthly, the present invention provides a computer program product, including computer program instructions, which, when executed on a computer, cause the computer to perform the method described in the first aspect above or any implementation thereof.

[0016] The technical effects corresponding to the second to fifth aspects and their possible implementations can be referred to the above description of the technical effects of the first aspect and its possible implementations, and will not be repeated here.

[0017] Compared with the prior art, the present invention has the following beneficial effects.

[0018] This invention provides a method for identifying potential animal movement paths. First, based on the habitat selection strategies of target species within a target area and various environmental factors, a habitat suitability index is generated for each of the multiple sub-regions within the target area. Then, the habitat suitability index is subjected to inverse value transformation, flow direction calculation, and confluence accumulation calculation to obtain the convergence accumulation amount of the target area. Finally, the convergence accumulation amount of the target area is used to determine the region where the potential movement path of the target species within the target area is located. It should be understood that, under natural conditions, animal habitats are highly heterogeneous geographical spaces. Animals need to move and migrate between unsuitable habitat patches to obtain suitable habitats. This instinct of animals to seek advantage and avoid harm in their habitats is similar to the directional selection exhibited by water flowing from high to low elevations. The above-described process of this invention uses the distribution surface of habitat suitability to replace the elevation model, and uses hydrological analysis to reproduce the movement process of water flow on the land surface to identify potential movement paths of animals in the habitat. It does not rely on animal trajectory data and has universality and high operability for animal path determination. Furthermore, it explicitly incorporates ecological preference information into the path identification process based on the habitat suitability index, so that potential movement paths have clear ecological interpretation and high reliability. In this way, animal corridors constructed based on potential animal movement paths can achieve the expected animal protection effect. Attached Figure Description

[0019] Figure 1 This is one of the schematic diagrams of a method for identifying potential animal movement paths provided in the embodiments of this application; Figure 2 This is a second schematic diagram of a method for identifying potential animal movement paths provided in the embodiments of this application; Figure 3This is the third schematic diagram of a method for identifying potential animal movement paths provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of an animal potential movement path identification device provided in an embodiment of this application. Detailed Implementation

[0020] In the specification and claims of this invention, the terms "first" and "second," etc., are used to distinguish different objects, rather than to describe a specific order of objects.

[0021] In the embodiments of this application, "and / or" indicates a relationship between objects. For example, A and / or B can represent the following three situations: A exists alone, B exists alone, and A and B exist simultaneously.

[0022] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0023] In the description of this invention, unless otherwise stated, "a plurality of" means two or more. For example, a plurality of sub-regions means two or more sub-regions.

[0024] The methods and apparatus provided in this application relate to path recognition and can be used to identify potential animal movement paths in order to construct animal passageways.

[0025] Understandably, linear infrastructure such as roads and railways can hinder the migration and spread of wild animals. In order to protect wild animals so that they can migrate and spread normally, existing technologies often use animal passages / ecological corridors to alleviate habitat fragmentation and reduce the risk of roadkill.

[0026] Existing methods for corridor site selection / identification mainly include: empirical methods based on field trace surveys or telemetry tracking, and connectivity analysis based on the least resistance path (LCP) or circuit theory. These methods generally suffer from the following drawbacks: strong reliance on long-term, high-cost animal movement data; significant subjectivity in parameter and threshold selection leading to low reliability; and difficulty in quickly identifying feasible corridor candidate locations during the engineering planning phase.

[0027] Therefore, there is an urgent need for a reproducible, scalable, data-dependent, and engineering-operable method for identifying potential movement paths to support rapid decision-making in animal passage location and ecological corridor layout (animal passage / ecological corridor).

[0028] To address the shortcomings of commonly used animal potential movement path identification methods in the background art, such as high dependence on animal movement data, low operability, and low reliability, which prevent animal corridors constructed based on animal potential movement paths from achieving the expected animal protection effect, this application provides a method and apparatus for identifying animal potential movement paths. This method can generate the area containing the potential movement paths of a target species within the target area based on environmental factors and the target species' habitat selection strategy. The process does not rely on animal movement data and has the advantages of high operability and high reliability, enabling animal corridors constructed based on animal potential movement paths to achieve the expected animal protection effect.

[0029] For example, the method for identifying potential animal movement paths provided in this embodiment of the invention can be executed by an electronic device with processing capabilities, such as a computer or server. Taking a computer as an example, the hardware components of the computer may include: a processor, memory, a network interface, a user interface, a communication bus, etc.

[0030] The processor controls the electronic device to perform related processing and computation tasks, such as acquiring various environmental factors of the target area, determining the habitat suitability index of the target area, and identifying the areas where potential movement paths of target species are located within the target area. The processor may include a central processing unit (CPU) or other processors, and the processor may be single-core or multi-core; for example, the processor may include multiple CPUs.

[0031] Memory is used to store computer instructions and related data. For example, it can store various environmental factors and habitat suitability indices for a target area, habitat selection strategies of target species, and areas containing potential movement paths of target species within the target area. Memory can be random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical storage, disk storage media, or other magnetic storage devices, or any other medium capable of storing program code or data accessible by a computer. Optionally, memory can be integrated into the processor, or it can be independent of the processor.

[0032] A network interface is used for communication between a computer and other devices or communication networks. A network interface can be a transceiver with transmit and receive capabilities. Optionally, a network interface may include standard wired interfaces or wireless interfaces (such as Wi-Fi interfaces, Bluetooth interfaces, and 5G interfaces).

[0033] The communication bus is used to enable communication between different components. For example, the processor, memory, network interface and user interface mentioned above can be interconnected through the communication bus.

[0034] The user interface may include a display screen and an input unit (such as a keyboard). Optionally, the user interface may also include a standard wired interface or a wireless interface.

[0035] Those skilled in the art will understand that the computer described above may include more or fewer components, or combine certain components, or have different component arrangements; the embodiments of this application do not limit this.

[0036] like Figure 1 As shown, the method for identifying potential animal movement paths provided in this application includes S101-S103.

[0037] S101. Obtain multiple environmental factors of the target area.

[0038] Optionally, the aforementioned environmental factors may include land cover type, normalized difference vegetation index (NDVI), altitude, slope, distance to water source, and distance from human disturbance, and may also include other environmental factors. The specific content of the aforementioned environmental factors is not limited in the embodiments of this application.

[0039] S102. Based on the habitat selection strategies of target species and various environmental factors within the target area, determine the habitat suitability index of the target area.

[0040] For example, the target species mentioned above can be large or medium-sized mammals, such as primates, even-toed ungulates, perissodactyls, proboscis, or carnivores. The primates mentioned above can include mountain gorillas, eastern lowland gorillas, western lowland gorillas, Bornean orangutans, Sumatran orangutans, and chimpanzees; the even-toed ungulates mentioned above can include hippos, white rhinoceroses, black rhinoceroses, giraffes, African buffalo, oryx (Iranian antelope), camels (Bactrian camels), and alpacas (Hallas); the perissodactyls mentioned above can include zebras, Grevy's zebras, and Mongolian wild asses; the proboscis can include African savanna elephants, African forest elephants, and Asian elephants; the carnivores mentioned above can include Siberian tigers, Bengal tigers, African lions, jaguars, brown bears, polar bears, giant pandas, and hyenas. This application does not limit the species of the target species mentioned above.

[0041] The aforementioned habitat selection strategy indicates the behavioral rules of animals in the face of environmental changes. This strategy indicates the target species' preference for the various environmental factors. Taking the mountain gorilla as the target species, it prefers areas with higher altitudes and shorter distances to water sources; therefore, its habitat selection strategy could be to choose areas with higher altitudes and shorter distances to water sources. Of course, the habitat selection strategy can also vary depending on the specific values ​​of the various environmental factors within the target area. This application does not further limit the specific content of the aforementioned habitat selection strategy.

[0042] The habitat suitability index of the aforementioned target area includes the habitat suitability index of each of the multiple sub-regions contained within the target area. The habitat suitability index (HSI) indicates the degree to which various environmental factors are suitable for the habitat of the target species. Since the habitat suitability index is common knowledge in this technical field, the embodiments of this application will not elaborate further on the habitat suitability index.

[0043] In one implementation, combined with Figure 1 ,like Figure 2 As shown, S102 includes S1021-S1024.

[0044] S1021. For each of the multiple sub-regions contained in the target area, according to the habitat selection strategy of the target species, each of the multiple environmental factors in the sub-region is classified and assigned a value to obtain the suitability level of each of the multiple environmental factors in the sub-region for the target species.

[0045] In one application scenario, the target area is divided into grids, and the projection, resolution, and grid alignment are standardized. Each sub-region within the current area can correspond to one or more grids. Based on this grid division, a three-level assignment {0, 1, 2} (0 indicating unsuitable, 1 indicating no effect, and 2 indicating suitable) is used to assign a graded value to each of the various environmental factors, obtaining the suitability level Ci for the target species within each environmental factor in the sub-region. The three-level assignment rules are shown in Table 1 below.

[0046] Table 1. Hierarchical Assignment Rules

[0047] S1022. Construct an importance judgment matrix for multiple environmental factors within a sub-region, calculate the normalized eigenvector of the judgment matrix, and perform a consistency check on the normalized eigenvector to obtain the weight of each environmental factor among the multiple environmental factors within the sub-region.

[0048] For example, the importance judgment matrix can be constructed using the analytic hierarchy process (such as the 1-9 scale method), and the consistency of the judgment matrix can be ensured by a consistency test (e.g., consistency coefficient < 0.10). An example table of the obtained importance judgment matrix is ​​shown in Table 2 below.

[0049] Table 2. Example of Importance Judgment Matrix

[0050] In Table 2 above, the importance scale is 1-9. 1, 3, 5, 7, 9 represent that the two comparison indicators are equally important, the former is slightly more important than the latter, the former is significantly more important than the latter, the former is strongly more important than the latter, and the former is extremely more important than the latter. 2, 4, 8, 8 indicate that they are between the two adjacent scales above, and the reciprocal represents the inverse comparison.

[0051] Furthermore, the weight Wi of each environmental factor among the various environmental factors obtained based on the above importance judgment matrix is ​​shown in Table 3 below.

[0052] Table 3 Example of Weights

[0053] It should be noted that the above-mentioned method of constructing an importance judgment matrix using the analytic hierarchy process and performing a consistency test to obtain the weight of each environmental factor in a sub-region is a commonly used technique in this technical field. The embodiments of this application will not elaborate further on the above process.

[0054] S1023. The suitability level and weight of each environmental factor in the sub-region are weighted and summed to obtain the habitat suitability index of the sub-region.

[0055] In the embodiments of this application, the aforementioned habitat suitability index HSI The calculation formula satisfies: HSI = Σ (Ci × Wi) Where Ci is the grade assignment of the i-th environmental factor, and Wi is the weight of the i-th environmental factor.

[0056] S1024. Integrate the habitat suitability index of each sub-region in multiple sub-regions to obtain the habitat suitability index of the target region.

[0057] S103. Based on the habitat suitability index of the target area, determine the area where the potential movement paths of the target species are located within the target area.

[0058] The aforementioned potential movement paths are determined by the convergence accumulation of each of the multiple sub-regions; the convergence accumulation is obtained by inverse value transformation of the habitat suitability index, flow direction calculation, and convergence accumulation calculation.

[0059] In one application scenario, combined with Figure 2 ,like Figure 3 As shown, S103 includes S1031-S1033.

[0060] S1031. Perform an inverse transformation on the habitat suitability index of the target area to obtain the movement resistance of the target area.

[0061] The movement resistance of the target area mentioned above includes the movement resistance of each of the multiple sub-regions within the target area (also referred to as the resistance surface of the target area). This movement resistance indicates the ease with which the target species can pass through a sub-region; the greater the movement resistance, the more difficult it is for the target species to pass through the sub-region, and the smaller the movement resistance, the easier it is for the target species to pass through the sub-region.

[0062] The relationship between the aforementioned movement resistance and the aforementioned habitat suitability index is as follows.

[0063] I. The higher the habitat suitability index, the lower the movement resistance obtained by the inverse transformation of the above habitat suitability index. The higher the habitat suitability index of a sub-region, the more suitable the sub-region is for the survival of the target species. The lower the movement resistance of the sub-region, the easier it is for the target species to cross the sub-region, proving that the sub-region is an ideal movement channel for the target species.

[0064] II. The smaller the habitat suitability index, the greater the movement resistance obtained by the inverse transformation of the habitat suitability index. The larger the habitat suitability index of a sub-region, the less suitable the sub-region is for the target species to survive. The greater the movement resistance of the sub-region, the more difficult it is for the target species to cross the sub-region, proving that the sub-region is an undesirable movement channel for the target species.

[0065] Alternatively, the formula for calculating the inverse value transformation described above can be: ,in, r Indicates moving resistance. HSI This represents the habitat suitability index.

[0066] S1032. The movement resistance of the target area is calculated by filling depressions, calculating flow direction, and calculating convergence accumulation, so as to obtain the convergence accumulation of each sub-region in multiple sub-regions within the target area.

[0067] In this embodiment, the aforementioned depression filling refers to filling the resistance surface of the target area. Its core purpose is to eliminate pseudo-depressions within the resistance surface (i.e., areas where the movement resistance of surrounding sub-regions is higher than that of the target sub-region itself, but which are not the starting point for the target species to traverse the target area). This ensures that the target species can cross the target area via a continuous low-resistance path, thereby guaranteeing the logical correctness of the minimum cost path. The type of depression filling can be a traditional hydrological depression filling category (applicable to circuit theory and graph theory scenarios) or a pseudo-depression filling category (applicable to minimum cost path scenarios). This embodiment does not limit the specific type of depression filling.

[0068] The above flow direction calculation is used to quantify the direction in which the target species moves towards the sub-region with lower movement resistance, starting from each sub-region within the target region; that is, to determine the direction in which the target species moves more easily (also known as the flow direction). The algorithm commonly used for the above flow direction calculation is the D8 algorithm (eight-direction unidirectional flow algorithm).

[0069] The above-mentioned flow accumulation calculation is used to count the number of upstream sub-regions of each sub-region in the target region (i.e., the flow accumulation) based on the flow direction of each sub-region in the target region, thereby identifying corridors and key nodes in the target region, i.e., the potential activity areas of the target species.

[0070] Since the above-mentioned operations of filling depressions, calculating flow direction, and calculating confluence accumulation are common technical means in GIS hydrological analysis links, the embodiments of this application will not elaborate on the above-mentioned processes of filling depressions, calculating flow direction, and calculating confluence accumulation.

[0071] S1033. Sub-regions whose cumulative amounts meet the accumulation conditions among multiple sub-regions are identified as the regions where the potential movement paths of the target species are located.

[0072] Optionally, the aforementioned accumulation condition can be that the accumulated amount is greater than the accumulation threshold, or it can be that the accumulated amount is within the first ranking range of the accumulated amounts of all sub-regions in the target area. The aforementioned accumulation threshold can be determined by the GIS natural breakpoint method or by expert experience, and the aforementioned first ranking range can be the top 10% or the top 50%. This application embodiment does not limit the values ​​of the aforementioned accumulation threshold and the aforementioned first ranking range.

[0073] In some embodiments, standard deviation classification or quantile thresholds can be used to divide the convergence accumulation of sub-regions in the target area into four levels (Level I, Level II, Level III, Level IV) according to their size, and extract the high-level (such as Level I, Level II) sub-regions as potential activity areas of the target species.

[0074] In summary, the method for identifying potential animal movement paths provided in this application first generates a habitat suitability index for each of the multiple sub-regions within the target area based on the target species' habitat selection strategy and various environmental factors. Then, it performs inverse value transformation, flow direction calculation, and confluence accumulation calculation on the habitat suitability index to obtain the confluence accumulation amount of the target area. Finally, it uses the confluence accumulation amount of the target area to determine the potential movement path of the target species within the target area. This process uses the distribution surface of habitat suitability to replace the elevation model, recreates the water flow process on the land surface through hydrological analysis, and identifies potential animal movement paths in the habitat. It does not rely on animal trajectory data, making it universally applicable and highly operable for animal path determination. Furthermore, it explicitly incorporates ecological preference information into the path identification process based on the habitat suitability index, giving the potential movement paths a clear ecological interpretation and high reliability. This allows animal corridors constructed based on potential animal movement paths to achieve the expected animal protection effect.

[0075] Accordingly, embodiments of this application provide a device for identifying potential animal movement paths, such as... Figure 4 As shown, it includes an acquisition module 401, a habitat suitability index determination module 402, and a potential movement path determination module 403.

[0076] The acquisition module 401 is used to acquire various environmental factors of the target area. For example, the acquisition module 401 is used to implement S101 of the above method.

[0077] The habitat suitability index determination module 402 is used to determine the habitat suitability index of the target area based on the habitat selection strategy of the target species and multiple environmental factors within the target area; the habitat selection strategy indicates the behavioral rules of animals in the face of environmental changes; the habitat suitability index of the target area includes the habitat suitability index of each of the multiple sub-regions contained in the target area. For example, the habitat suitability index determination module 402 is used to implement S102 of the above method.

[0078] The potential movement path determination module 403 is used to determine the region where the potential movement path of the target species is located within the target region based on the habitat suitability index of the target region. The potential movement path is determined by the convergence accumulation of each sub-region in multiple sub-regions. The convergence accumulation is obtained by inverse value transformation, flow direction calculation, and convergence accumulation calculation of the habitat suitability index. For example, the potential movement path determination module 403 is used to implement S103 of the above method.

[0079] Optionally, the habitat suitability index determination module 402 is specifically used for: for each of the multiple sub-regions included in the target area, according to the habitat selection strategy of the target species, classifying and assigning values ​​to each of the multiple environmental factors in the sub-region to obtain the suitability level of each of the multiple environmental factors in the sub-region for the target species; constructing an importance judgment matrix of multiple environmental factors in the sub-region, calculating the normalized eigenvector of the judgment matrix, and performing a consistency check on the normalized eigenvector to obtain the weight of each of the multiple environmental factors in the sub-region; performing a weighted summation of the suitability level and weight of each of the multiple environmental factors in the sub-region to obtain the habitat suitability index of the sub-region; and integrating the habitat suitability indices of each sub-region in the multiple sub-regions to obtain the habitat suitability index of the target area. For example, the habitat suitability index determination module 402 is specifically used to implement S1021-S1024 of the above method.

[0080] Optionally, the potential movement path determination module 403 is specifically used to: perform an inverse transformation on the habitat suitability index of the target area to obtain the movement resistance of the target area; the movement resistance of the target area includes the movement resistance of each sub-region within multiple sub-regions of the target area. The movement resistance of the target area is then used to perform depression filling, flow direction calculation, and confluence accumulation calculation to obtain the convergence accumulation amount of each sub-region within multiple sub-regions of the target area. Sub-regions whose convergence accumulation amounts satisfy the accumulation conditions are identified as the areas where the potential movement path of the target species is located. For example, the potential movement path determination module 403 is specifically used to implement S1031-S1034 of the above method.

[0081] Each module of the above-mentioned animal potential movement path identification device can also be used to perform other steps in the above method embodiments. All relevant content involved in the above method embodiments can be referred to in the functional description of the corresponding functional module, and will not be repeated here.

[0082] This application also provides an electronic device, including: a processor and a memory coupled to the processor; the memory is used to store computer instructions, and when the electronic device is running, the processor executes the computer instructions stored in the memory to cause the electronic device to perform the methods in the above embodiments. The processor can implement the above-described acquisition module 401, habitat suitability index determination module 402, and potential movement path determination module 403; the memory can also be used to store various environmental factors and habitat suitability indices of the target area, habitat selection strategies of the target species, and potential movement paths of the target species within the target area.

[0083] This application also provides a computer-readable storage medium including a computer program that, when run on a computer, performs the methods described in the above embodiments.

[0084] This application also provides a computer program product, which includes computer program instructions that, when run on a computer, execute the methods described in the above embodiments.

[0085] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0086] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for identifying potential movement paths in animals, characterized in that, include: Acquire multiple environmental factors of the target area; Based on the habitat selection strategies of the target species within the target area and the various environmental factors, a habitat suitability index for the target area is determined; the habitat selection strategies indicate the behavioral rules of animals in the face of environmental changes; the habitat suitability index for the target area includes the habitat suitability index of each of the multiple sub-regions contained in the target area. Based on the habitat suitability index of the target area, the potential movement paths of the target species within the target area are determined; the potential movement paths are determined by the convergence accumulation of each of the multiple sub-regions; the convergence accumulation is obtained by inverse value transformation, flow direction calculation and confluence accumulation calculation of the habitat suitability index.

2. The method as described in claim 1, characterized in that, The determination of the habitat suitability index of the target area based on the habitat selection strategy of the target species within the target area and the various environmental factors includes: For each of the multiple sub-regions included in the target area, according to the habitat selection strategy of the target species, each of the multiple environmental factors in the sub-region is classified and assigned a value to obtain the suitability level of each of the multiple environmental factors in the sub-region for the target species; Construct an importance judgment matrix for multiple environmental factors within the sub-region, calculate the normalized eigenvector of the judgment matrix, and perform a consistency check on the normalized eigenvector to obtain the weight of each environmental factor among the multiple environmental factors within the sub-region. The habitat suitability index of the sub-region is obtained by weighted summation of the suitability level and weight of each environmental factor among multiple environmental factors in the sub-region. The habitat suitability index of the target area is obtained by integrating the habitat suitability indices of each of the multiple sub-regions.

3. The method as described in claim 1 or 2, characterized in that, The step of determining the area containing the potential movement path of the target species within the target area based on the habitat suitability index of the target area includes: The habitat suitability index of the target area is inversely transformed to obtain the movement resistance of the target area; the movement resistance of the target area includes the movement resistance of each of the multiple sub-regions within the target area. The movement resistance of the target area is calculated by filling depressions, calculating flow direction, and calculating confluence accumulation to obtain the confluence accumulation of each sub-region in multiple sub-regions of the target area. The sub-regions whose cumulative amounts meet the accumulation conditions among the multiple sub-regions are identified as the regions where the potential activity paths of the target species are located.

4. The method as described in claim 3, characterized in that, The accumulation condition is that the accumulated amount is greater than the accumulation threshold or the accumulated amount is within the first arrangement range of the accumulated amounts of all sub-regions in the target region.

5. The method as described in claim 1, characterized in that, The various environmental factors include land cover type, normalized vegetation index, altitude, slope, distance to water source, and distance to human disturbance. The habitat selection strategy indicates the target species' preference for the various environmental factors.

6. A device for identifying potential movement paths of animals, characterized in that, It includes an acquisition module, a habitat suitability index determination module, and a potential movement path determination module; The acquisition module is used to acquire multiple environmental factors of the target area; The habitat suitability index determination module is used to determine the habitat suitability index of the target area based on the habitat selection strategy of the target species within the target area and the multiple environmental factors; the habitat selection strategy indicates the behavioral rules of animals in the face of environmental changes; the habitat suitability index of the target area includes the habitat suitability index of each sub-region among the multiple sub-regions contained in the target area; The potential movement path determination module is used to determine the region where the potential movement path of the target species is located within the target region based on the habitat suitability index of the target region; the potential movement path is determined by the convergence accumulation of each sub-region in the plurality of sub-regions; the convergence accumulation is obtained by the habitat suitability index through inverse value transformation, flow direction calculation and convergence accumulation calculation.

7. An electronic device, characterized in that, The device includes a processor and a memory coupled to the processor; the memory is used to store computer instructions, which, when the electronic device is running, are executed by the processor to cause the electronic device to perform the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, It includes computer program instructions that, when executed by a computer, cause the computer to perform the method as described in any one of claims 1 to 5.

9. A computer program product, characterized in that, It includes computer program instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1 to 5.

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