A method for evaluating the ecological adaptability of key wetland species populations

Abstract

The present application discloses a method for evaluating the ecological adaptability of key populations in wetlands. In order to solve the technical problems that it is difficult to grasp the natural laws that characterize the correlation between vegetation species in wetland ecosystems and the natural laws that characterize the correlation between vegetation species in wetland ecosystems and geographical conditions, the method in this specification adopts technical means and is result-oriented. It combines the performance of natural laws reflected by the growth performance of key populations in wetland areas to evaluate the ecological adaptability of key populations in wetland areas, so as to provide a basis for the supervision and management of the ecosystems in wetland areas.

Description

Technical Field

[0001] The present application relates to the technical field of data processing suitable for management, supervision or prediction purposes, and in particular to a method for evaluating the ecological adaptability of key wetland populations. Background Art

[0002] Wetland ecosystems belong to aquatic ecosystems. Their biological communities are composed of aquatic and terrestrial species, with active material circulation, energy flow, species migration and evolution, and high ecological diversity, species diversity and biological productivity.

[0003] In order to protect wetland ecosystems, it is imperative to strengthen their supervision and management. However, wetland ecosystems in different geographical locations have different vegetation types, terrains and landforms, which leads to the correlation between vegetation species and the correlation between vegetation species and geographical conditions being more complex and difficult to quantify, posing a challenge to the supervision and management of wetland ecology. Summary of the invention

[0004] The embodiments of the present application provide a method for evaluating the ecological adaptability of key wetland populations to at least partially solve the above-mentioned technical problems.

[0005] The present application embodiment adopts the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a method for evaluating the ecological adaptability of key wetland populations, the method comprising:

[0007] The wetland area is divided to obtain a plurality of first target areas; any two first target areas adjacent in position meet at least one of the following conditions: there is water between them; one of the first two target areas adjacent in position has experienced an ecological event within a historical time period of a specified length from the current moment, while the other has not; the difference in average vegetation height is greater than a preset height difference threshold;

[0008] The wetland area is divided again to obtain a plurality of second target areas; any two second target areas adjacent in position meet at least one of the following conditions: the species of the key populations with the largest coverage area growing thereon are different; the distance between the distribution density center of the plant with the largest coverage area and the distribution density center of the plant with the second largest coverage area in the key population is greater than a preset distance threshold;

[0009] Based on historical data, draw a distribution density curve of the target species in the wetland area; the target species is one of the key populations;

[0010] If, based on the distribution density curve within a specified number of growth cycles, it is detected that the distance of the migration of the distribution density center of the target species in the wetland area is greater than a preset first migration threshold, the areas in the first target area and the second target area where the target species is distributed and overlap are taken as areas to be investigated;

[0011] If, in the area to be investigated, the migration distances of the distribution density centers of other key populations except the target species are not greater than the preset second migration threshold, and the change in the number of plants of each key population is not greater than the preset number change threshold, then it is determined that the ecological adaptability of the key populations in the wetland area is good and the ecological risks are controllable; and the second migration threshold is smaller than the first migration threshold.

[0012] In an optional embodiment of this specification, the method further includes:

[0013] If, in the area to be investigated, the migration distances of the distribution density centers of other key populations except the target species are not greater than the second migration threshold, and the change in the number of plants of at least one of the key populations is greater than the number change threshold, then it is determined that the key populations in the wetland area have good ecological adaptability, but there are uncontrollable ecological risks.

[0014] In an optional embodiment of this specification, the method further includes:

[0015] If the distance of migration of the distribution density center of one of the key populations other than the target species in the area to be investigated is greater than the second migration threshold, and the change in the number of plants of each of the key populations is not greater than the number change threshold, then it is determined that the ecological risk of the wetland area is controllable, and an artificial-based ecological adaptability determination of the key populations is performed.

[0016] In an optional embodiment of this specification, the method further includes:

[0017] The ecological event includes at least one of the following: a climate event, a biological invasion event, and a human intervention event.

[0018] In an optional embodiment of this specification, the method further includes:

[0019] The designated period of time when species included in key populations in the wetland area have historically changed is greater than the designated period of time when species included in key populations in the wetland area have not historically changed.

[0020] In an optional embodiment of this specification, the method further includes:

[0021] The distance threshold is negatively correlated with the area of ​​the wetland region and negatively correlated with the maximum value of the plant quantity ratio in the key population.

[0022] In an optional embodiment of this specification, the method further includes:

[0023] The specified number when an ecological event has occurred in the wetland area is greater than the specified number when no ecological event has occurred in the wetland area; when the ecological event has occurred in the wetland, the specified number of growth cycles includes the time when the most recent ecological event occurred.

[0024] In an optional embodiment of this specification, the method further includes:

[0025] The target species is one of the key populations whose distribution density center is located in the wetland area where ecological events have occurred; or, the target species is one of the key populations whose comprehensive overlap with the distribution range of other key populations is the highest.

[0026] In a second aspect, an embodiment of the present application further provides a device for evaluating the ecological adaptability of key wetland populations, wherein the device is used to implement the method steps in the first aspect.

[0027] In a third aspect, an embodiment of the present application further provides an electronic device, including:

[0028] Processor; and

[0029] A memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method steps described in the first aspect.

[0030] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which stores one or more programs. When the one or more programs are executed by an electronic device including multiple applications, the electronic device executes the method steps described in the first aspect.

[0031] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0032] In response to the technical problems that it is difficult to grasp the natural laws that characterize the correlation between vegetation species in wetland ecosystems and the natural laws that characterize the correlation between vegetation species in wetland ecosystems and geographical conditions, the method in this specification adopts technical means and is result-oriented. It combines the natural laws reflected by the growth performance of key populations in wetland areas to evaluate the ecological adaptability of key populations in wetland areas, so as to provide a basis for the supervision and management of ecosystems in wetland areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0034] Figure 1 A schematic diagram of a method for evaluating the ecological adaptability of key wetland populations provided in an embodiment of this specification;

[0035] Figure 2 It is a schematic diagram of the structure of an electronic device in an embodiment of this specification. DETAILED DESCRIPTION

[0036] The present invention is further described in detail below by specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments adopt associated similar element numbers. In the following embodiments, many detailed descriptions are for making the present application better understood. However, those skilled in the art can easily recognize that some features can be omitted in different situations, or can be replaced by other elements, materials, methods. In some cases, some operations related to the present application are not shown or described in the specification, and this is to avoid the core part of the present application being overwhelmed by too much description, and for those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations according to the description in the specification and the general technical knowledge in the art.

[0037] In addition, the features, operations or characteristics described in the specification can be combined in any appropriate manner to form various implementations. At the same time, the steps or actions in the method description can also be interchanged or adjusted in a manner that is obvious to those skilled in the art. Therefore, the various sequences in the specification and the drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a required sequence, unless otherwise specified that a certain sequence must be followed.

[0038] The serial numbers of the components in this document, such as "first", "second", etc., are only used to distinguish the objects described and do not have any order or technical meaning. The "connection" and "coupling" mentioned in this application, unless otherwise specified, include direct and indirect connections (couplings).

[0039] The following is a detailed description of the technical solutions provided by various embodiments of the present application in conjunction with the accompanying drawings. The method steps in this specification can be at least partially executed through scripts.

[0040] like Figure 1 As shown, the method for evaluating the ecological adaptability of key wetland populations in this specification includes the following steps:

[0041] S100: Divide the wetland area to obtain a plurality of first target areas.

[0042] The first target area in this specification is used to characterize the impact of geographical factors on the ecological environment of the wetland area. Both the first target area and the second target area mentioned below can be regarded as the wetland area divided at the current moment. In other words, when it is necessary to evaluate the ecological adaptability, the first target area and the second target area are divided. If the ecological adaptability needs to be evaluated again in the future, it needs to be divided again.

[0043] Any two first target areas that are adjacent in position satisfy at least one of the following conditions: there is water between them (the wetland area in this specification is a geographically continuous area that has the characteristics of wetland ecology. The actual situation is that even geographically continuous ecosystems will have differences due to factors such as their geographical location. Water areas such as lakes and rivers are hard isolation of the geographical environment); one of the first two target areas that are adjacent in position has experienced an ecological event within a historical time period of a specified length from the current moment, while the other has not (separating the area where the ecological event occurred can more clearly show the impact of the ecological event on the ecosystem of the wetland area); the difference in the average height of the vegetation is greater than the preset height difference threshold (the average height of the vegetation is affected by environmental factors such as the species to which the plant belongs, nutrients, and light, which to a certain extent indicates the influence of different geographical conditions. The vegetation here refers to all vegetation, not just key populations, that is, the interaction between key populations and non-key populations is also examined here). The height difference threshold may be an empirical value. For example, the average growth height of a plant such as poplar in a wetland ecosystem of a certain dimension is traceable, which can indicate whether the wetland ecosystem is healthy enough.

[0044] In an optional embodiment of the present specification, the ecological event includes at least one of the following: a climate event (such as a flood, a landslide, etc.), a biological invasion event (such as an invasion of fruit flies that specifically harm a certain key population), and a human intervention event (human intervention is not necessarily an event that is beneficial to the wetland ecology.

[0045] It can be seen that the method in this specification can quantify geographical factors.

[0046] In an optional embodiment of the present specification, the specified time period when the species included in the key population in the wetland area have changed historically is greater than the specified time period when the species included in the key population in the wetland area have not changed. As time goes on, the species included in the key population in the wetland area may change, and these changes may be caused by global climate change, such as the northward shift of the temperate zone in the Northern Hemisphere.

[0047] S102: Divide the wetland area again to obtain a plurality of second target areas.

[0048] There is no interference between the division of the wetland area into the first target area and the division of the second target area. The second target area in this specification is used to characterize the correlation between key populations. This correlation is controlled by the natural law of complementarity between the characteristics of each plant. For example, there is such a correlation between carrots and onions. The smell of onions can prevent the reproduction of carrot flies, and there is no competition between onions and carrots.

[0049] Species in an ecosystem can be divided into key populations and non-key populations. Key populations have stronger ecological functions than non-key populations, such as purifying water, preventing soil erosion, and providing habitats. Key populations include reeds, cattails, and lilies. Non-key populations include certain mushrooms that grow in the rainy season. Key populations and non-key populations can be determined based on artificial experience. Key populations may be different in different wetland areas.

[0050] Any two second target areas that are adjacent in position meet at least one of the following conditions: the types of the key populations with the largest coverage area growing on them are different (different key populations naturally have different correlations between key populations); in the key population, the distance between the distribution density center of the plant with the largest coverage area and the distribution density center of the plant with the second largest coverage area is greater than a preset distance threshold (the larger the distance, the weaker the correlation).

[0051] In an optional embodiment of the present specification, the distance threshold is negatively correlated with the area of ​​the wetland region (the larger the wetland, the greater the difference in plants and the weaker the correlation), and is negatively correlated with the maximum value of the ratio of the number of plants in the key population (the more distinct the difference in the number of plants in the key population, the weaker the correlation between the plants).

[0052] It can be seen that the method in this specification can quantify the association between species.

[0053] S104: Based on historical data, draw a distribution density curve of the target species in the wetland area.

[0054] The target species in this specification is one of the key populations. The target species can be the key population that has the greatest impact on the wetland area. This impact can be the maintenance of the wetland area; or it can be the destruction of the wetland area accompanied by the reduction or even extinction of the target species. With the changes in the environment, the target species at different times may be different.

[0055] In an optional embodiment of the present specification, the target species is one of the key populations whose distribution density center is located in the wetland area where ecological events have occurred (characterizing the degree of interaction between the target species and the geographical environment). Alternatively, the target species is one of the key populations with the highest comprehensive overlap with the distribution range of other key populations (characterizing the degree of interaction between the target species and other key populations). The comprehensive overlap degree can be the accumulation of the overlap degree, and the overlap degree can be the ratio of the area of ​​the overlapping area to the area of ​​the wetland area.

[0056] The distribution density curve is a collection of curves drawn from data collected at different times. In the distribution density curve, the horizontal and vertical coordinates are the longitude and latitude directions of the wetland area, and the distribution density of the target species is distributed on it in the form of points, and the ones with the same distribution density are connected into lines. The distribution density curve can be obtained by superimposing the curves obtained based on data collected at different times.

[0057] S106: If, based on the distribution density curve within a specified number of growth cycles, it is detected that the migration distance of the distribution density center of the target species in the wetland area is greater than a preset first migration threshold, then the areas in the first target area and the second target area where the target species is distributed and overlap are taken as areas to be investigated.

[0058] The first migration threshold can be an empirical value. Ideally, the distribution density center of the target species in the wetland area should not migrate. If the migration distance of the distribution density center of the target species in the wetland area is greater than the preset first migration threshold, it indicates that the ecological adaptability of the key populations in the wetland area may have changed, which is worth investigating. If it is detected that the migration distance of the distribution density center of the target species in the wetland area is not greater than the first migration threshold, it is directly judged that the ecological adaptability of the wetland area is good.

[0059] The area to be investigated obtained through this step combines the environment, the correlation between species, and the adaptability, which can achieve a comprehensive investigation of ecological adaptability.

[0060] In an optional embodiment of the present specification, the specified number when an ecological event has occurred in the wetland area is greater than the specified number when no ecological event has occurred in the wetland area; when the ecological event has occurred in the wetland, the specified number of growth cycles includes the time when the most recent ecological event occurred, so as to examine the wetland area's ability to repair ecological events.

[0061] S108: If, in the area to be investigated, the migration distances of the distribution density centers of other key populations except the target species are not greater than the preset second migration threshold, and the change in the number of plants of each key population is not greater than the preset number change threshold, then it is determined that the ecological adaptability of the key populations in the wetland area is good and the ecological risks are controllable.

[0062] The distances of the distribution density centers of other key populations except the target species are no greater than the preset second migration threshold, indicating that the association between species has not affected the health of the ecosystem. Even if the target species has changed significantly, other key populations have not changed much. Population ecological adaptability is used to characterize whether the association between species is still a beneficial association. Ecological risk is used to characterize the degree of negative impact on various factors in the wetland environment, including plants. The quantity change threshold can be an empirical value.

[0063] Taking into account that the migration of species distribution does not happen overnight and is also affected by other propagation factors (for example, bird migration), the second migration threshold is smaller than the first migration threshold and can be obtained through experience.

[0064] The method in this specification aims to address the technical problems that it is difficult to grasp the natural laws that characterize the correlation between vegetation species in wetland ecosystems, and the natural laws that characterize the correlation between vegetation species in wetland ecosystems and geographical conditions. The method in this specification adopts technical means and is result-oriented. It combines the natural laws reflected in the growth performance of key populations in wetland areas to evaluate the ecological adaptability of key populations in wetland areas, so as to provide a basis for the supervision and management of ecosystems in wetland areas.

[0065] The evaluation of the wetland area may also yield other results. In an optional embodiment of the present specification, if the distances of the center migration of the distribution density of other key populations except the target species in the area to be investigated are no greater than the preset second migration threshold (indicating that the correlation has not affected the health of the ecosystem), and the change in the number of plants of one of the key populations is greater than the number change threshold (indicating that a sudden and uncontrollable event has occurred), then it is determined that the key populations in the wetland area have good ecological adaptability, but there are uncontrollable ecological risks. This ecological risk can manifest in many ways. For example, without distinguishing between species, large-scale species deaths may occur, which may be caused by human intervention or damage caused by alien species, requiring further specific analysis.

[0066] Furthermore, if the distance of the migration of the distribution density center of one of the key populations other than the target species in the area to be investigated is greater than the preset second migration threshold, and the change in the number of plants of each of the key populations is not greater than the preset number change threshold, then it is determined that the ecological risk of the wetland area is controllable, and an artificial determination of the ecological adaptability of the key populations is performed. In other words, although the wetland area has undergone relatively obvious changes, the possibility of risk is relatively small due to the restoration capacity and strong adaptability of the key populations, but such changes require further observation. The result of performing an artificial determination of the ecological adaptability of key populations may be an update of the species of plants belonging to the key populations.

[0067] Figure 2 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. Figure 2 At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. The memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Of course, the electronic device may also include hardware required for other services.

[0068] The processor, network interface and memory can be interconnected through an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 2 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0069] The memory is used to store the program. Specifically, the program may include a program code, and the program code includes a computer operation instruction. The memory may include a memory and a non-volatile memory, and provides instructions and data to the processor.

[0070] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a device for evaluating the ecological adaptability of key wetland populations at the logical level. The processor executes the program stored in the memory and is specifically used to execute any of the aforementioned methods for evaluating the ecological adaptability of key wetland populations.

[0071] The above application Figure 1The method for evaluating the ecological adaptability of key wetland populations disclosed in the illustrated embodiment can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or instructions in the form of software. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0072] The electronic device may also perform Figure 1 A method for evaluating the ecological adaptability of key wetland populations was developed and implemented. Figure 1 The functions of the illustrated embodiment will not be described in detail in the embodiments of the present application.

[0073] An embodiment of the present application also proposes a computer-readable storage medium, which stores one or more programs, and the one or more programs include instructions. When the instructions are executed by an electronic device including multiple application programs, any of the aforementioned methods for evaluating the ecological adaptability of key wetland populations is executed.

[0074] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0075] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0076] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0078] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0079] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0080] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0081] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0082] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0083] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for evaluating the ecological adaptability of key wetland populations, characterized in that: The method comprises: The wetland area is divided to obtain a plurality of first target areas; any two first target areas adjacent in position meet at least one of the following conditions: there is water between them; one of the first two target areas adjacent in position has experienced an ecological event within a historical time period of a specified length from the current moment, while the other has not; the difference in average vegetation height is greater than a preset height difference threshold; The wetland area is divided again to obtain a plurality of second target areas; any two second target areas adjacent in position meet at least one of the following conditions: the species of the key populations with the largest coverage area growing thereon are different; the distance between the distribution density center of the plant with the largest coverage area and the distribution density center of the plant with the second largest coverage area in the key population is greater than a preset distance threshold; Based on historical data, draw a distribution density curve of the target species in the wetland area; the target species is one of the key populations; If, based on the distribution density curve within a specified number of growth cycles, it is detected that the distance of the migration of the distribution density center of the target species in the wetland area is greater than a preset first migration threshold, the areas in the first target area and the second target area where the target species is distributed and overlap are taken as areas to be investigated; If, in the area to be investigated, the migration distances of the distribution density centers of other key populations except the target species are not greater than the preset second migration threshold, and the change in the number of plants of each key population is not greater than the preset number change threshold, then it is determined that the ecological adaptability of the key populations in the wetland area is good and the ecological risks are controllable; and the second migration threshold is smaller than the first migration threshold.

2. The method according to claim 1, characterized in that: The method further comprises: If, in the area to be investigated, the migration distances of the distribution density centers of other key populations except the target species are not greater than the second migration threshold, and the change in the number of plants of at least one of the key populations is greater than the number change threshold, then it is determined that the key populations in the wetland area have good ecological adaptability, but there are uncontrollable ecological risks.

3. The method according to claim 1, characterized in that: The method further comprises: If the distance of migration of the distribution density center of one of the key populations other than the target species in the area to be investigated is greater than the second migration threshold, and the change in the number of plants of each of the key populations is not greater than the number change threshold, then it is determined that the ecological risk of the wetland area is controllable, and an artificial-based ecological adaptability determination of the key populations is performed.

4. The method according to claim 1, characterized in that: The method further comprises: The ecological event includes at least one of the following: a climate event, a biological invasion event, and a human intervention event.

5. The method according to claim 1, characterized in that: The method further comprises: The designated period of time when species included in key populations in the wetland area have historically changed is greater than the designated period of time when species included in key populations in the wetland area have not historically changed.

6. The method according to claim 1, characterized in that: The method further comprises: The distance threshold is negatively correlated with the area of ​​the wetland region and negatively correlated with the maximum value of the plant quantity ratio in the key population.

7. The method according to claim 1, characterized in that: The method further comprises: The specified number when an ecological event has occurred in the wetland area is greater than the specified number when no ecological event has occurred in the wetland area; when the ecological event has occurred in the wetland, the specified number of growth cycles includes the time when the most recent ecological event occurred.

8. The method according to claim 1, characterized in that: The method further comprises: The target species is one of the key populations whose distribution density center is located in the wetland area where ecological events have occurred; or, the target species is one of the key populations whose comprehensive overlap with the distribution range of other key populations is the highest.

9. An electronic device, comprising: processor; as well as A memory arranged to store computer executable instructions, which when executed cause the processor to perform the method of any one of claims 1 to 8.

10. A computer-readable storage medium storing one or more programs, which, when executed by an electronic device including a plurality of application programs, causes the electronic device to execute any one of the methods of claims 1 to 8.

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