A method for constructing a "time-space-spectrum" characteristic factor system for key wetland plant species

Abstract

The present application discloses a method for constructing a "time-space-spectrum" characteristic factor system for key plant species in wetlands. Based on the situation of key species in the wetland area at the first moment and the second moment separated by at least one growth cycle in history, different layers of the "time-space-spectrum" are constructed to express the changes in the wetland area in the time period between the first moment and the second moment, so that the "time-space-spectrum" can reflect this change in the dimension of time. When constructing the "time-space-spectrum", the wetland area is divided, taking into account the characteristics of the topography of the wetland area, the impact on the key species growing thereon, and expressing it to achieve the quantification of the characteristics. The "time-space-spectrum" thus constructed can not only reflect the situation of the wetland area in time, but also reflect the characteristics of the wetland area in space. The quantified wetland area provides a basis for the analysis and management of it by relevant personnel.

Description

Technical Field

[0001] The present application relates to the field of data processing technology suitable for management, supervision or prediction purposes, and in particular to a method for constructing a "time-space-spectrum" characteristic factor system for key wetland plant species. Background Art

[0002] Wetlands are important national and natural resources with multiple functions. They are closely related to human survival, reproduction and development. They are the most biodiverse ecological landscapes in nature and one of the most important living environments for humans. Wetlands, forests and oceans are known as the world's three major ecosystems. They have important ecological functions such as maintaining water sources, purifying water quality, storing floods and preventing droughts, regulating climate and maintaining biodiversity. They are an important part of the ecological security system and an important foundation for sustainable economic and social development.

[0003] Strengthening the analysis and supervision of ecosystems is a prerequisite for ensuring that ecosystems can exert their ecological effects. How to achieve the analysis and supervision of ecosystems has become an urgent issue to be resolved. Summary of the invention

[0004] The embodiment of the present application provides a method for constructing a "time-space-spectrum" characteristic factor system of key wetland plant species 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, the present application provides a method for constructing a "time-space-spectrum" characteristic factor system of key wetland plant species, the method comprising:

[0007] The wetland area is divided to obtain a number of target areas; any two target areas adjacent in position meet at least one of the following conditions: there is water between them; the difference in average height of vegetation is greater than a preset height difference threshold, and the first repetition of key species is greater than a preset first repetition threshold; the first repetition of vegetation is not greater than the first repetition threshold; the difference in vegetation coverage area is greater than a preset coverage area difference threshold; wherein the first repetition is used to characterize the ratio of the number of the same species in two areas to the number of all species in the two areas;

[0008] Constructing a first time-space-spectral feature layer; the first feature layer includes a plurality of first feature points corresponding to the target area one by one; the first feature point is used to characterize a first feature factor at a first moment; the first feature factor includes: the identifier of the key species in the corresponding target area, the vegetation density of the key species, the distance between the vegetation density centers of different key species, and whether the designated species is the same as that of other target areas adjacent in position; the designated species is the key species with the largest number of plants in the target area;

[0009] Constructing the second time-space-spectrum characteristic layer; the second characteristic layer comprises a plurality of second characteristic points corresponding to the target area one by one; the second characteristic points are used to characterize the second characteristic factor at the second moment in addition to the first characteristic factor at the second moment; the second characteristic factor comprises: ecological events occurring in the corresponding target area between the first moment and the second moment; the first moment precedes the second moment; the first moment and the second moment belong to the same stage in different growth cycles;

[0010] For each of the second feature points, determine a first weight value between the first feature point and the first feature point belonging to the same target area; the first weight value is positively correlated with the similarity between the first feature factor of the first feature point and the first feature factor of the second feature point; and negatively correlated with the duration between the first moment and the second moment; if the second feature factor is not empty, the first weight value when the similarity between the first feature factor of the first feature point and the first feature factor of the second feature point is greater than a preset similarity threshold is greater than the first weight value when the similarity between the first feature factor of the first feature point and the first feature factor of the second feature point is not greater than the similarity threshold;

[0011] Based on the first weight value, artificial intervention is performed on the ecological environment of the wetland area.

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

[0013] If the first weight value is less than a preset first weight value threshold, it is determined that there is an ecological risk in the wetland area.

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

[0015] Constructing the third time-space-spectrum characteristic layer; the third characteristic layer comprises a plurality of third characteristic points corresponding to the target area one by one; the third characteristic points are used to characterize the first characteristic factor and the second characteristic factor at a third moment; the second moment is prior to the third moment; the second moment and the third moment belong to the same stage in different growth cycles;

[0016] For each of the third feature points, determine a second weight value between the third feature point and the first feature point belonging to the same target area, and determine a third weight value between the third feature point and the second feature point belonging to the same target area;

[0017] If the first weight value is less than the first weight value threshold, and the difference between the second weight value and the third weight value, and the difference between the first weight value and the third weight value are both less than the preset weight value difference threshold, it is determined that the ecological risk of the wetland area is difficult to eliminate by itself.

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

[0019] If the first weight value is less than the first weight value threshold, and the second weight value is greater than the third weight value, and the difference between the second weight value and the third weight value is greater than the weight value difference threshold, it is determined that the ecological risk of the wetland area is being eliminated by itself.

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

[0021] The ecological event includes at least one of the following: a climate event, a biological invasion event, and a human intervention event.

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

[0023] In the case where it is detected that the second characteristic point contains the second characteristic factor, re-dividing the wetland area to obtain a plurality of new target areas;

[0024] For each new target area, the first feature point in the first feature layer whose area range overlaps with the new target area to the greatest extent is used as the corresponding first feature point.

[0025] In an optional embodiment of this specification, the method further includes:

[0026] The first weight value threshold is negatively correlated with the latitude of the wetland area and negatively correlated with the species of the key plant.

[0027] In an optional embodiment of this specification, the method further includes:

[0028] When the target area for which the first weight value is less than the first weight value threshold is not unique and is not continuous in position, it is determined that there is a risk of human destruction in the wetland area.

[0029] In a second aspect, an embodiment of the present application also provides a device for constructing a "time-space-spectrum" characteristic factor system of key wetland plant species, wherein the device is used to implement the method steps in the first aspect.

[0030] In a third aspect, an embodiment of the present application further provides an electronic device, including:

[0031] Processor; and

[0032] A memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method steps described in the first aspect.

[0033] 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.

[0034] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0035] Based on the situation of key species in the wetland area at the first moment and the second moment separated by at least one growth cycle in history, different layers of "time-space-spectrum" are constructed to express the changes in the wetland area in the time period between the first moment and the second moment, so that the "time-space-spectrum" can reflect this change in the dimension of time. When constructing the "time-space-spectrum", the wetland area is divided, taking into account the characteristics of the topography and landforms of the wetland area, the impact on the key species growing thereon, and expressing them to achieve the quantification of characteristics. The "time-space-spectrum" thus constructed can not only reflect the situation of the wetland area in time, but also reflect the characteristics of the wetland area in space. The quantified wetland area provides a basis for the analysis and management of it by relevant personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] 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:

[0037] Figure 1 A schematic diagram of a process for constructing a "time-space-spectrum" characteristic factor system of key wetland plant species provided in an embodiment of this specification;

[0038] Figure 2 It is a schematic diagram of the structure of an electronic device in an embodiment of this specification. DETAILED DESCRIPTION

[0039] 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.

[0040] 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.

[0041] 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).

[0042] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0043] like Figure 1 As shown, the method for constructing the "time-space-spectrum" characteristic factor system of key wetland plant species in this specification includes the following steps:

[0044] S100: Divide the wetland area to obtain a number of target areas.

[0045] 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. For example, the ecosystems on the same mountain also differ between the south slope and the north slope. The ecosystems on the same slope of a mountain will also differ due to factors such as water systems and altitudes. There are many factors that affect the composition of the ecosystem, and the correlation between factors cannot be ignored. Due to the complexity of the situation, the analysis is also more complicated. The method in this specification is result-oriented, and the wetland area is divided based on the results of the impact of the environment on vegetation and the rigid isolation of the environment on vegetation. The division of wetland areas can be performed by computer scripts or by manual division.

[0046] Any two target areas adjacent in position obtained by the method in this specification meet at least one of the following conditions. There is a water area between them (water areas such as lakes and rivers are hard isolation of the geographical environment); the difference in average height of vegetation is greater than the preset height difference threshold (the average height of vegetation is affected by environmental factors such as plant species, nutrients, and light. The vegetation here refers to all vegetation, not just key species, that is, the interaction between key species and non-key species is also examined here), and the first repetition of key species is greater than the preset first repetition threshold (indicating that key species are still in a relatively critical regulatory position for the target area to which they belong); the first repetition of vegetation is not greater than the first repetition threshold (indicating that the two target areas each have their own relatively distinct vegetation characteristics); the difference in vegetation coverage is greater than the preset coverage area difference threshold (which can be an empirical value. If an ecological event has occurred in history, the coverage area difference threshold can be larger); wherein the first repetition is used to characterize the ratio of the number of species that are the same in two areas to the number of all species in the two areas; when examining the first repetition of key species, it is the ratio of the number of key species that are the same in two areas to the number of all key species in the two areas.

[0047] Species in an ecosystem can be divided into key species and non-key species. Key species have stronger ecological functions than non-key species, such as purifying water, preventing soil erosion, and providing habitats. Key species include reeds, cattails, and hollyhocks. Non-key species include mushrooms that grow in the rainy season. Key species and non-key species can be determined based on artificial experience.

[0048] The target area obtained by the method in this specification can not only reflect the differences in geographical environment of different locations in the wetland area, but also reflect the results of its impact on species. Moreover, since some target areas are adjacent to each other, the interaction between species in adjacent target areas can also be reflected.

[0049] S102: Construct the first feature layer of time-space-spectrum.

[0050] The time-space-spectrum in this specification has at least a three-dimensional structure, and as the layers increase, the dimensions will also increase. The time-space-spectrum is the result of quantification of the wetland area. The first characteristic layer can be regarded as being based on the most original data in history.

[0051] The first feature layer of time-space-spectrum includes a plurality of first feature points corresponding to the target area one by one. The first feature is a collection of partial features of the corresponding target area.

[0052] The first feature point is used to characterize the first characteristic factor at the first moment. The first characteristic factor includes: the identification of the key species in the corresponding target area, the vegetation density of the key species (expressing the distribution of the key species), the distance between the vegetation density centers of different key species (expressing the correlation between the key species), and whether it is the same as the designated species of other target areas adjacent in position (expressing the correlation between adjacent target areas). The designated species is the key species with the largest number of plants in the target area. Under ideal conditions, the situation of the ecosystem expressed by the first characteristic layer is the most ideal situation and is the goal to be maintained.

[0053] S104: Construct the second feature layer of the time-space-spectrum.

[0054] The first moment in this specification is prior to the second moment; the first moment and the second moment belong to the same stage in different growth cycles. Generally, one year is one growth cycle. The division of stages can be determined according to actual needs. For example, one season can be used as a stage, or one month can be used as a stage.

[0055] The second characteristic layer includes a number of second characteristic points corresponding one to one with the target area; the second characteristic points are used to characterize the second characteristic factor in the second moment in addition to the first characteristic factor in the second moment; the second characteristic factor includes: ecological events occurring in the corresponding target area between the first moment and the second moment. An ecological event is an event that has a significant impact on the ecology. In an optional embodiment of the present specification, the ecological event includes at least one of the following: climate events (such as floods, landslides, etc.), biological invasion events, and human intervention events (human intervention may not necessarily be an event that is beneficial to the wetland ecology. In some cases, human intervention can be ecological restoration.

[0056] S106: For each of the second feature points, determine a first weight value between the second feature point and the first feature point belonging to the same target area.

[0057] The first weight value in this specification is an abstract concept, which is a quantification of the rationality of the change in the target area between the first moment and the second moment. The larger the value, the more acceptable the change. The first weight value can realize the supervision and management of the wetland area.

[0058] The first weight value is positively correlated with the similarity between the first characteristic factor of the first feature point and the first characteristic factor of the second feature point (indicating that the target area has not changed much during the time period between the first moment and the second moment); and negatively correlated with the duration between the first moment and the second moment (the longer the duration, the greater the hidden danger of significant changes); if the second characteristic factor is not empty, the first weight value when the similarity between the first characteristic factor of the first feature point and the first characteristic factor of the second feature point is greater than the preset similarity threshold is greater than the first weight value when the similarity between the first characteristic factor of the first feature point and the first characteristic factor of the second feature point is not greater than the similarity threshold (indicating that even if an ecological event occurs, the impact on the ecosystem is limited, indicating that the ecosystem has strong stability, strong stress resistance, and is less likely to be damaged). The similarity threshold can be an empirical value, optionally, negatively correlated with the area of ​​the target area, and negatively correlated with the area of ​​the wetland area (considering the entire wetland area as a whole, the larger the area of ​​the whole, the better the relevance and restoration of the key species of the whole).

[0059] S108: Based on the first weight value, artificially intervene in the ecological environment of the wetland area.

[0060] For example, if the first weight value is large (for example, the first weight value is not less than the preset first weight value threshold), it indicates that the wetland ecology is functioning well, and even if artificial intervention is carried out, the goal should be to maintain the status quo of the wetland area.

[0061] In an optional embodiment of the present specification, if the first weight value is less than a preset first weight value threshold, it is determined that the wetland area has an ecological risk, and the artificial intervention performed at this time should be aimed at repairing the ecosystem and eliminating risk factors. Specific measures for artificial intervention can be obtained based on experience. Since the first weight value corresponds to the target area one by one, the location where the risk occurs in the wetland area can be determined by the method in this specification.

[0062] Optionally, the first weight value threshold is negatively correlated with the latitude of the wetland area (humid and hot climates are more common in low-latitude areas, which is conducive to vegetation growth and self-repair of the ecosystem), and is negatively correlated with the species of the key plants (the more key species there are, the more stable the ecosystem is).

[0063] In addition, in a further optional embodiment, when the target area where the first weight value is less than the first weight value threshold is not unique and is not continuous in position, it is determined that the wetland area is at risk of human destruction. For example, the invasion of alien species is characterized by a phased spread over time. For example, landslides often occur in a relatively concentrated manner in one or several adjacent areas. The scattered occurrence is more likely to be man-made, may be deliberately created, or may be caused by improper human intervention.

[0064] The method in this specification constructs different layers of "time-space-spectrum" based on the situation of key species in the wetland area at the first moment and the second moment separated by at least one growth cycle in history to express the changes in the wetland area in the time period between the first moment and the second moment, so that the "time-space-spectrum" can reflect this change in the dimension of time. When constructing the "time-space-spectrum", the wetland area is divided, taking into account the characteristics of the topography of the wetland area, the impact on the key species growing thereon, and expressing them to achieve quantification of the characteristics. The "time-space-spectrum" thus constructed can not only reflect the situation of the wetland area in time, but also reflect the characteristics of the wetland area in space. The quantified wetland area provides a basis for the analysis and management of it by relevant personnel.

[0065] Nowadays, global climate change is gradually intensifying, becoming a factor that cannot be ignored in affecting wetland ecology, such as the gradual increase in temperature and the gradual northward shift of the temperate zone. These global climate changes are also worthy of attention.

[0066] In an optional embodiment of the present specification, in order to analyze and process the impact of these factors on wetland ecology in a more macroscopic way in the time dimension, the third time-space-spectrum characteristic layer is also constructed. The third characteristic layer contains a number of third characteristic points corresponding to the target area one by one; the third characteristic points are used to characterize the first characteristic factor and the second characteristic factor in the third moment; the second moment is prior to the third moment; the second moment and the third moment belong to the same stage in different growth cycles. In terms of construction method, the third layer has many similarities with the second layer.

[0067] Then, for each of the third feature points, determine the second weight value between the first feature point of the same target area to which it belongs (used to express the difference between the current moment and the original state, and to express the accumulation of various changes that have occurred in a long historical stage), and determine the third weight value between the second feature point of the same target area to which it belongs (used to express the changes that have occurred in a recent growth cycle, and to express the trend of changes that may exist in the future). In a further optional embodiment, when the time-space-spectrum contains more than three layers, the earliest layer in time can be used as the first feature layer, the layer closest to the current moment can be used as the third feature layer, and the layer that is located before the third feature layer in time and adjacent to the third feature layer can be used as the second feature layer. The steps of determining the second weight value and the third weight value are similar to the aforementioned steps of determining the first weight value.

[0068] If the first weight value is less than the first weight value threshold (indicating that an ecological disaster has occurred in history), and the difference between the second weight value and the third weight value, and the difference between the first weight value and the third weight value are both less than a preset weight value difference threshold (the weight value difference threshold may be an empirical value, which is related to the disaster tolerance of the wetland area and may be obtained through manual evaluation), indicating that an ecological risk has occurred in the target area to which it belongs, and no self-healing has occurred over a long period of time, it is determined that the ecological risk in the wetland area is difficult to eliminate by itself, and adaptive manual intervention for the purpose of restoration should be carried out.

[0069] If the first weight value is less than the first weight value threshold, and the second weight value is greater than the third weight value, and the difference between the second weight value and the third weight value is greater than the weight value difference threshold, it is determined that the ecological risk of the wetland area is being eliminated by itself. Other possible value comparison situations can be evaluated through manual judgment.

[0070] In some cases, the damage caused by ecological events to wetland areas may be very significant. For example, after a mountain torrent breaks out, parts of some target areas are washed away, resulting in partial destruction of the target areas. Therefore, in an optional embodiment of the present specification, when it is detected that the second feature point contains the second feature factor, the wetland area is re-divided to obtain several new target areas. For each new target area, the first feature point in the first feature layer with the largest degree of overlap with the area range is used as its corresponding first feature point to execute subsequent steps.

[0071] The device can execute the method in any of the aforementioned embodiments and can obtain the same or similar technical effects, which will not be described in detail here.

[0072] 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.

[0073] 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.

[0074] 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.

[0075] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a device for constructing a "time-space-spectrum" characteristic factor system of key wetland plant species 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 constructing a "time-space-spectrum" characteristic factor system of key wetland plant species.

[0076] The above application Figure 1 The method for constructing a "time-space-spectrum" characteristic factor system of key wetland plant species 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 an instruction in the form of software. The above processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can 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 can be a microprocessor or the processor can 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.

[0077] The electronic device may also perform Figure 1 A method for constructing a "time-space-spectrum" characteristic factor system for key wetland plant species and implementing Figure 1 The functions of the illustrated embodiment will not be described in detail in the embodiments of the present application.

[0078] 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 applications, they execute any of the aforementioned methods for constructing a "time-space-spectrum" characteristic factor system for key wetland plant species.

[0079] 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.

[0080] 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.

[0081] 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.

[0082] 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.

[0083] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0084] 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.

[0085] 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.

[0086] 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.

[0087] 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.

[0088] 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 constructing a "time-space-spectrum" characteristic factor system for key wetland plant species, characterized in that: The method comprises: The wetland area is divided to obtain a number of target areas; any two target areas adjacent in position meet at least one of the following conditions: there is water between them; the difference in average height of vegetation is greater than a preset height difference threshold, and the first repetition of key species is greater than a preset first repetition threshold; the first repetition of vegetation is not greater than the first repetition threshold; the difference in vegetation coverage area is greater than a preset coverage area difference threshold; wherein the first repetition is used to characterize the ratio of the number of the same species in two areas to the number of all species in the two areas; Constructing a first time-space-spectral feature layer; the first feature layer includes a plurality of first feature points corresponding to the target area one by one; the first feature point is used to characterize a first feature factor at a first moment; the first feature factor includes: the identifier of the key species in the corresponding target area, the vegetation density of the key species, the distance between the vegetation density centers of different key species, and whether the designated species is the same as that of other target areas adjacent in position; the designated species is the key species with the largest number of plants in the target area; Constructing the second time-space-spectrum characteristic layer; the second characteristic layer comprises a plurality of second characteristic points corresponding to the target area one by one; the second characteristic points are used to characterize the second characteristic factor at the second moment in addition to the first characteristic factor at the second moment; the second characteristic factor comprises: ecological events occurring in the corresponding target area between the first moment and the second moment; the first moment precedes the second moment; the first moment and the second moment belong to the same stage in different growth cycles; For each of the second feature points, determine a first weight value between the first feature point and the first feature point belonging to the same target area; the first weight value is positively correlated with the similarity between the first feature factor of the first feature point and the first feature factor of the second feature point; and negatively correlated with the duration between the first moment and the second moment; if the second feature factor is not empty, the first weight value when the similarity between the first feature factor of the first feature point and the first feature factor of the second feature point is greater than a preset similarity threshold is greater than the first weight value when the similarity between the first feature factor of the first feature point and the first feature factor of the second feature point is not greater than the similarity threshold; Based on the first weight value, artificial intervention is performed on the ecological environment of the wetland area.

2. The method according to claim 1, characterized in that: The method further comprises: If the first weight value is less than a preset first weight value threshold, it is determined that there is an ecological risk in the wetland area.

3. The method according to claim 1, characterized in that: The method further comprises: Constructing the third time-space-spectrum characteristic layer; the third characteristic layer comprises a plurality of third characteristic points corresponding to the target area one by one; the third characteristic points are used to characterize the first characteristic factor and the second characteristic factor at a third moment; the second moment is prior to the third moment; the second moment and the third moment belong to the same stage in different growth cycles; For each of the third feature points, determine a second weight value between the third feature point and the first feature point belonging to the same target area, and determine a third weight value between the third feature point and the second feature point belonging to the same target area; If the first weight value is less than the first weight value threshold, and the difference between the second weight value and the third weight value, and the difference between the first weight value and the third weight value are both less than the preset weight value difference threshold, it is determined that the ecological risk of the wetland area is difficult to eliminate by itself.

4. The method according to claim 3, characterized in that: The method further comprises: If the first weight value is less than the first weight value threshold, and the second weight value is greater than the third weight value, and the difference between the second weight value and the third weight value is greater than the weight value difference threshold, it is determined that the ecological risk of the wetland area is being eliminated by itself.

5. 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.

6. The method according to claim 1, characterized in that: The method further comprises: In the case where it is detected that the second characteristic point contains the second characteristic factor, re-dividing the wetland area to obtain a plurality of new target areas; For each new target area, the first feature point whose area range in the first feature layer overlaps with the new target area to the greatest extent is used as the corresponding first feature point.

7. The method according to claim 1, characterized in that: The method further comprises: The first weight value threshold is negatively correlated with the latitude of the wetland area and negatively correlated with the species of the key plant.

8. The method according to claim 2, characterized in that: The method further comprises: When the target area for which the first weight value is less than the first weight value threshold is not unique and is not continuous in position, it is determined that there is a risk of human destruction in the wetland area.

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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