Grassland grazing space self-organizing planning method fusing ecological process simulation

Abstract

The invention discloses a grassland grazing space self-organizing planning method fusing ecological process simulation, and relates to the technical field of grassland ecological planning, and the method comprises the following steps: S1, constructing a unified expression basis of a grassland grazing space unit and ecological process bearing relationship; s2, carrying out ecological process time sequence evolution description by using a space unit bearing relationship; s3, generating a self-organizing association structure among the space units by using the ecological process evolution table set; s4, performing planning constraint consistency arrangement by using a grazing space self-organizing relation set; and S5, performing ecological process simulation verification by using the planning structure expression and the ecological process evolution table set. According to the method, by setting the ecological process evolution table set constructed based on the unified time scale, direct, comparable and quotable basic expression is provided for subsequent space unit self-organizing relation generation and ecological process simulation verification, and therefore the defects in the aspect of ecological process time sequence expression and spatial planning connection in the prior art are effectively overcome.

Description

Technical Field

[0001] This invention relates to the field of grassland ecological planning technology, specifically to a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation. Background Technology

[0002] As a typical region where production, living, and ecology are highly intertwined, the spatial planning of grassland pastoral areas involves not only the layout of herders' residences but also is closely related to grassland ecological processes, pastoral production activities, and the evolution of the natural environment. Existing grassland pastoral spatial planning methods are mostly based on static land use status or functional zoning, focusing on the matching relationship between spatial location and use, lacking a systematic description of the ecological processes themselves, and especially failing to reflect the changing characteristics of ecological processes on a time scale within the same spatial unit.

[0003] In existing technologies, time series analysis of ecological processes lacks a defined carrying capacity relationship with specific pastoral spatial units, making it difficult for the results of ecological process evolution to directly correspond with the identification of relationships between subsequent spatial units and the construction of planning structures. Consequently, planning analysis remains at the static spatial level and lacks systematic support for the continuous evolution characteristics of ecological processes. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation, thereby solving the problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] In a first aspect, embodiments of the present invention provide a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation, comprising the following steps:

[0007] S1. To establish a unified expression basis for the relationship between grassland pastoral spatial units and ecological process carrying capacity;

[0008] S2. Use spatial unit carrying relationships to characterize the temporal evolution of ecological processes and obtain an ecological process evolution representation set;

[0009] S3. Use the ecological process evolution characterization set to generate the self-organizing relationship structure between spatial units, and obtain the self-organizing relationship set of pastoral space;

[0010] S4. Use the self-organizing relation set of pastoral living spaces to organize planning constraints in a consistent manner to obtain an executable planning structure expression;

[0011] S5. Using the planning structure expression and ecological process evolution representation set, ecological process simulation verification is performed to obtain the self-organizing planning results of grassland pastoral space that integrates ecological process simulation.

[0012] To further optimize this technical solution, step S1 transforms the grassland pastoral area into a set of spatial units with clear spatial boundaries and defined ecological process carrying capacity;

[0013] Step S1, in the process of constructing a unified representation, includes the following steps:

[0014] Determining and unifying the spatial scope of grassland pastoral living;

[0015] Division and identification of grassland pastoral living space units;

[0016] Identification and aggregation of ecological attributes of spatial units;

[0017] The transformation from ecological attributes to ecological process carrying relationships.

[0018] To further optimize this technical solution, after constructing a unified expression, step S1 yields:

[0019] ;

[0020] in:

[0021] : Represents the overall output of step S1, which is the unified expression basis for the relationship between grassland pastoral spatial units and ecological process carrying capacity;

[0022] : Indicates the total number of grassland pastoral spatial units obtained within the study area;

[0023] : indicates the first The unified representation of each grassland pastoral spatial unit is expressed as follows:

[0024] ;

[0025] In the formula:

[0026] The unique identifier of a spatial unit;

[0027] : Description of the spatial boundary of a spatial unit;

[0028] The set of ecological process carrying types corresponding to this spatial unit.

[0029] To further optimize this technical solution, step S2 introduces a time dimension to continuously characterize the established ecological processes within each spatial unit, forming a foundation for ecological process evolution representation that can be used for subsequent self-organization analysis.

[0030] Step S2, in the process of characterizing the temporal evolution of ecological processes, includes the following steps:

[0031] Unified construction of temporal observation states of ecological processes;

[0032] Evolutionary characterization of temporal changes in ecological processes;

[0033] A unified organization of the ecological process evolution representation set.

[0034] To further optimize this technical solution, in step S2, during the unified construction of the time-series observation state of ecological processes, for each ecological process, at a unified time scale... Construct a sequence of its state changes over time; spatial unit In time The ecological process state is as follows:

[0035]

[0036] in:

[0037] Indicated in spatial unit Inner, in time Above, corresponding to the overall state of ecological processes;

[0038] Reflects the overall performance of the ecological process at that moment;

[0039] All spatial units share the same time set. .

[0040] To further optimize this technical solution, in step S2, when performing the evolutionary characterization of the temporal changes in ecological processes,

[0041] For each spatial unit Mapping the complete temporal state of its ecological processes into an evolutionary characterization result Its expression is:

[0042]

[0043] in:

[0044] This represents a mapping of the evolution of ecological processes;

[0045] This mapping is based on time series analysis, for Abstracting the overall characteristics of change;

[0046] It is used to characterize the changes in ecological processes within the spatial unit over time.

[0047] To further optimize this technical solution, in step S2, when uniformly organizing the ecological process evolution representation set, the evolution results corresponding to each spatial unit are uniformly collected to form the overall output of step S2, namely the ecological process evolution representation set. Its expression is:

[0048] .

[0049] To further optimize this technical solution, step S3, based on the ecological process evolution characterization results formed in step S2, identifies the naturally formed association structures between grassland pastoral spatial units driven by long-term ecological process evolution, and concludes that:

[0050] ;

[0051] in:

[0052] This represents a set of self-organizing relationships within pastoral living spaces.

[0053] Each It represents a self-organizing structure consisting of several spatial units and their interrelationships;

[0054] This indicates the number of self-organizing relationships identified within the study area.

[0055] To further optimize this technical solution, step S4 involves consistent organization and structural regularization of the self-organizing relation set of pastoral spaces obtained in step S3, transforming it into an executable planning structure expression that can be directly used for subsequent planning or ecological process simulation, thus forming a planning structure object. .

[0056] To further optimize this technical solution, step S5 combines the executable planning structure expression obtained in step S4 with the ecological process evolution representation set obtained in step S2. Through ecological process simulation verification, the consistency between the planning structure and ecological evolution is achieved, ultimately generating a self-organizing planning result for grassland pastoral space that integrates ecological process simulation. .

[0057] In a second aspect, embodiments of the present invention provide a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, they implement the steps of a grassland pastoral space self-organizing planning method that integrates ecological process simulation as described in the first aspect of the present invention.

[0058] Thirdly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, they implement the steps of a grassland pastoral space self-organizing planning method that integrates ecological process simulation as described in the first aspect of the present invention.

[0059] Compared with existing technologies, this invention provides a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation, and has the following beneficial effects:

[0060] This self-organizing planning method for grassland pastoral spaces, which integrates ecological process simulation, continuously characterizes the established pastoral spatial units and their underlying ecological processes in the time dimension by setting up an ecological process evolution representation set based on a unified time scale. The output is presented in a unified structural form, providing a direct, comparable, and referable basic expression for the subsequent generation of self-organizing relationships of spatial units and verification of ecological process simulation. This effectively makes up for the shortcomings of existing technologies in the connection between the temporal expression of ecological processes and spatial planning. Attached Figure Description

[0061] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0062] Figure 1 This is a flowchart illustrating a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation, as proposed in this invention.

[0063] Figure 2 This is a schematic diagram illustrating the temporal evolution of the ecological process in a grassland pastoral space self-organization planning method that integrates ecological process simulation, as proposed in this invention.

[0064] Figure 3 This is a schematic diagram of the process for generating a self-organizing relational structure of a grassland pastoral space self-organizing planning method that integrates ecological process simulation proposed in this invention.

[0065] Figure 4 This is a schematic diagram of the ecological process simulation verification process for a grassland pastoral space self-organizing planning method that integrates ecological process simulation proposed in this invention. Detailed Implementation

[0066] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0067] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0068] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0069] Example 1:

[0070] Reference Figures 1-4 This is the first embodiment of the present invention, which provides a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation, including the following steps:

[0071] S1. To establish a unified expression basis for the relationship between grassland pastoral spatial units and ecological process carrying capacity;

[0072] Step S1 transforms the grassland pastoral area into a set of spatial units with clear spatial boundaries and defined ecological process carrying capacity, so that all subsequent analyses are carried out on the same spatial scale and within the same carrying capacity framework. This avoids technical ambiguities caused by inconsistent spatial divisions or unclear ecological object definitions between different steps, and provides a unified, stable and repeatable spatial-ecological carrying capacity expression basis for subsequent characterization of the temporal evolution of ecological processes and generation of self-organizing relationships in pastoral spaces.

[0073] Step S1, in the process of constructing a unified representation, includes the following steps:

[0074] Determining and unifying the spatial boundaries of grassland pastoral living:

[0075] Based on existing mature geographic information system spatial analysis technology, the spatial range of the target grassland pastoral area is determined;

[0076] The spatial scope is based on existing publicly available pastoral management boundaries, administrative divisions, or established grassland utilization areas, and is unified through spatial clipping and overlay processing to ensure that the determined spatial scope is consistent in coordinate system and boundary expression.

[0077] When multiple boundary sources exist, they are uniformly processed using the priority rules of existing boundary results to ensure that the determination of spatial extent is unique and repeatable.

[0078] Division and identification of grassland pastoral living space units:

[0079] Within the established grassland pastoral area, existing mature spatial unit division technology is used to discretize the region and form multiple spatial units;

[0080] The division of spatial units is based on one of the following methods: regular grid, natural geographic boundary, or existing management unit mapping. The scale of spatial unit division is kept consistent during a single method execution.

[0081] Each formed spatial unit is assigned a unique identifier, which is used as a basic reference object in subsequent steps for characterizing ecological processes, generating self-organizing relationships, and constructing planning structures.

[0082] Identification and aggregation of ecological attributes of spatial units:

[0083] After completing the spatial unit division, based on existing mature grassland type classification results, ecological zoning results or remote sensing interpretation results, the ecological attributes corresponding to each spatial unit are identified. These ecological attributes are categorical attributes used to characterize the ecological background characteristics of the spatial unit.

[0084] When different data sources make different judgments on the ecological attributes of the same spatial unit, the data is aggregated by prioritizing existing results or using consistency rules, so that each spatial unit eventually corresponds to a stable set of ecological attributes.

[0085] The transformation from ecological attributes to ecological process carrying capacity relationships:

[0086] After obtaining the set of ecological attributes corresponding to the spatial unit, based on the existing publicly available ecological research results, the ecological attributes are transformed into the ecological process carrying relationships of the spatial unit through the pre-established correspondence between ecological attributes and ecological process types.

[0087] This conversion process is completed using fixed corresponding rules.

[0088] Step S1 ultimately yields:

[0089] ;

[0090] in:

[0091] : Represents the overall output of step S1, which is the unified expression basis for the relationship between grassland pastoral spatial units and ecological process carrying capacity;

[0092] : Indicates the total number of grassland pastoral spatial units obtained within the study area;

[0093] : indicates the first The unified representation of each grassland pastoral spatial unit is expressed as follows:

[0094] ;

[0095] In the formula:

[0096] : A unique identifier for the spatial unit, used for stable indexing throughout the method flow;

[0097] : Spatial boundary description of a spatial unit, used to define the spatial range in which grassland pastoral activities and ecological processes occur;

[0098] The set of ecological process carrying types corresponding to the spatial unit is used to characterize the types of ecological processes carried by the spatial unit.

[0099] S2. Use spatial unit carrying relationships to characterize the temporal evolution of ecological processes and obtain an ecological process evolution representation set;

[0100] Step S2 introduces the time dimension to continuously characterize the established ecological processes within each spatial unit, forming a foundation for ecological process evolution representation that can be used for subsequent self-organization analysis.

[0101] Step S2, in the process of characterizing the temporal evolution of ecological processes, includes the following steps:

[0102] Unified construction of temporal observation states of ecological processes:

[0103] For each spatial unit Only select the types of ecological processes that have been determined to be able to support in step S1;

[0104] For each ecological process, at a unified time scale Construct a sequence of its state changes over time; spatial unit In time The ecological process state is as follows:

[0105]

[0106] in:

[0107] Indicated in spatial unit Inner, in time Above, corresponding to the overall state of ecological processes;

[0108] The values ​​are obtained from existing mature ecological monitoring and remote sensing inversion methods, reflecting the overall performance of the ecological process at that moment;

[0109] All spatial units share the same time set. This ensures the comparability of subsequent evolutionary characterizations.

[0110] Evolutionary characterization of temporal changes in ecological processes:

[0111] In obtaining Then, an evolutionary analysis was performed on it over time.

[0112] For each spatial unit Mapping the complete temporal state of its ecological processes into an evolutionary characterization result Its expression is:

[0113]

[0114] in:

[0115] This represents a mapping of the evolution of ecological processes;

[0116] This mapping is based on mature time series analysis concepts, and... Abstracting the overall characteristics of change;

[0117] Used to characterize the temporal variation of ecological processes within this spatial unit;

[0118] During this process:

[0119] A consistent processing logic is applied to all spatial units;

[0120] The research objective focuses on characterizing the temporal variation structure of ecological processes;

[0121] No comparisons or orders are made between spatial units; only independent evolutionary descriptions are formed.

[0122] Unified organization of ecological process evolution characterization sets:

[0123] After completing the evolutionary characterization of all spatial units, the evolutionary results corresponding to each spatial unit are collected and unified to form the overall output of step S2, namely the ecological process evolutionary characterization set. Its expression is:

[0124] ;

[0125] This set maintains a one-to-one correspondence with the spatial unit numbers in step S1.

[0126] Compared with existing mature ecological time-series analysis techniques, the main differences in step S2 lie in its embedding method and service objects: First, the time-series characterization object in this step is not directly based on regions or rule grids, but is strictly limited to grassland pastoral spatial units whose ecological process carrying relationships have been clearly defined in step S1, ensuring the consistency between ecological process analysis and spatial function from the source; Second, the purpose of time dimension analysis is not to form ecological evaluation or state judgment conclusions, but to build the intermediate evolutionary representation foundation required for subsequent self-organizing planning of grassland pastoral spaces; Third, the analysis results are not output in the form of scattered indicators, but are organized into a set of ecological process evolutionary representations corresponding one-to-one with spatial units, providing a unified input that can be directly referenced for subsequent spatial association and structure identification. The above differences do not change the implementation path of the mature technology itself, but change its application positioning in the overall methodology system.

[0127] S3. Use the ecological process evolution characterization set to generate the self-organizing relationship structure between spatial units, and obtain the self-organizing relationship set of pastoral space;

[0128] Step S3, based on the ecological process evolution characterization results formed in step S2, identifies the naturally formed association structure between grassland pastoral spatial units under the long-term evolution of ecological processes, thereby constructing the basis for the self-organizing relationship of pastoral space.

[0129] Step S3, in generating the self-organizing association structure, includes the following steps:

[0130] Construction of correlation metrics between spatial unit evolutionary representations:

[0131] Transforming the evolutionary similarities of ecological processes over time into a quantitative expression of the relationships between spatial units, in order to As the sole input, for any two distinct spatial units and ( Construct its ecological process evolution correlation metric:

[0132] ;

[0133] in:

[0134] Representing spatial units and The strength of the evolutionary correlation between ecological processes;

[0135] It is a relational mapping function used to characterize the degree of consistency between two evolutionary representations in terms of overall change trend, stage succession characteristics, or fluctuation structure;

[0136] The computational basis is , Implied in it, by Evolutionary information is constructed sequentially, rather than at a single point in time or from raw observations.

[0137] Unified organization of relationships between spatial units:

[0138] After obtaining the association metrics for each spatial unit pair, they are organized into a set of spatial unit relationships:

[0139] ;

[0140] in:

[0141] Each relation term describes the relationship between a pair of spatial units at the level of ecological process evolution;

[0142] This relationship does not presuppose directionality, hierarchy, or planning meaning; it only reflects whether the association exists and its relative strength.

[0143] All relation terms are generated based on the same evolutionary representation system, ensuring the comparability of relation results.

[0144] The formation of a set of self-organizing relationships in pastoral spaces:

[0145] The scattered spatial unit relationships are elevated into a set of self-organizing relationships within the pastoral space, possessing overall structural significance. Based on this set of spatial unit relationships, the relationships are structurally abstracted, resulting in the final output of step S3:

[0146] ;

[0147] in:

[0148] This represents a set of self-organizing relationships within pastoral living spaces.

[0149] Each It represents a self-organizing structure consisting of several spatial units and their interrelationships;

[0150] This indicates the number of self-organizing relationships identified within the study area;

[0151] The formation does not introduce new spatial units, nor does it change the spatial boundaries determined in step S1; it only organizes and expresses the ecological evolutionary relationships between existing spatial units.

[0152] The main differences between step S3 and existing mature spatial association analysis or ecological network analysis techniques are as follows: First, the spatial unit relationships generated in this step are entirely based on the overall consistency between the evolutionary representations of ecological processes, rather than relying on adjacency, distance, or artificial functional settings; second, before generating spatial associations, this step uses step S2 to analyze the time dimension. The evolutionary process is abstracted to reduce the interference of temporal noise on relationship identification; finally, the self-organizing relationship set output in this step is used for subsequent expression of pastoral spatial structure, without carrying planning or decision-making functions.

[0153] S4. Use the self-organizing relation set of pastoral living spaces to organize planning constraints in a consistent manner to obtain an executable planning structure expression;

[0154] Step S4 involves consistent organization and structural regularization of the self-organizing relation set of pastoral spaces obtained in step S3, so that it can be directly used for subsequent planning or ecological process simulation and form an executable planning structure expression.

[0155] Step S4, in the process of aligning planning constraints, includes the following steps:

[0156] Self-organization relationship consistency check:

[0157] right Each relation structure Internal spatial units and its correlation measurement Perform integrity and consistency checks;

[0158] The inspection includes:

[0159] Does a duplicate relationship exist?

[0160] Are there any conflicts (such as contradictory associations being assigned to the same unit)?

[0161] Does the absence of certain relationships affect the continuity of the overall structure?

[0162] Use mature GIS spatial analysis and topology inspection techniques to identify conflicts and omissions, ensuring that spatial relationships are both geographically and logically valid.

[0163] Relationship organization and constraint mapping:

[0164] For the discovered conflicting relationships, the specific relationships are selected to be retained or adjusted based on the location of spatial units, ecological function carrying capacity, and proximity relationships.

[0165] For missing relationships, they are filled in by the similarity of the ecological process evolution of neighboring spatial units, so that each Internal relationships are complete;

[0166] This process simply maps relations to executable planning expressions.

[0167] Generate an executable plan structure representation:

[0168] Transform the organized set of relationships into a planning structure object. ;

[0169] Using mature GIS data modeling or network structure representation techniques, each spatial unit is numbered and its association strength is determined. And mapping topological relationships to GIS layers or topological network formats;

[0170] make sure It can be directly used for subsequent ecological process simulation, planning verification, and spatial layout display.

[0171] The planning structure object This is the executable planning structure expression that is finally output in step S4.

[0172] S5. Using the planning structure expression and ecological process evolution representation set, ecological process simulation verification is performed to obtain the self-organizing planning results of grassland pastoral space that integrates ecological process simulation.

[0173] Step S5 combines the executable planning structure expression obtained in step S4 with the ecological process evolution representation set obtained in step S2. Through ecological process simulation verification, the consistency between the planning structure and ecological evolution is achieved, and finally, a self-organizing planning result of grassland pastoral space integrating ecological process simulation is generated.

[0174] Step S5, in the process of ecological process simulation verification, includes the following steps:

[0175] Mapping the planning structure to an ecological evolution scenario:

[0176] Will Each spatial unit Mapping their relationships to ecological evolutionary characterization Time series Down;

[0177] Define a simulation state vector for each spatial unit:

[0178] ;

[0179] explain:

[0180] express exist The simulated ecological state;

[0181] The ecological evolution representation output by S2;

[0182] The sorted self-organizing relationships and topological attributes output by S4;

[0183] The mapping is completed using mature ecological process simulation techniques (such as grid-based spatiotemporal evolution models or discrete ecological network simulation methods).

[0184] Consistency assessment and deviation quantification:

[0185] For each spatial unit in each A difference analysis was conducted between the simulated state and the ecological representation:

[0186] ;

[0187] This indicates the degree of inconsistency between the planning structure and the evolution of ecological processes;

[0188] Using spatiotemporal matching evaluation, spatial heterogeneity analysis, or ecological deviation analysis techniques, we can identify units or relationships that need adjustment.

[0189] Planning, structural adjustment, and integration output generation:

[0190] against The indicators were fine-tuned and adjusted. The relation weights or proximity relationships in the model make the simulated state more realistic. Thus Adjusted to ;

[0191] After iterative verification, the final planning results of the integrated ecological process simulation are generated:

[0192] ;

[0193] in:

[0194] This indicates the spatial unit after consistency assessment and verification adjustments. and Between in time The strength or state of self-organizing relationships under [the specified conditions];

[0195] Output At the same time, it retains the self-organizing relationship of spatial units and the evolutionary characteristics of ecological processes, which can be directly used as a reference for subsequent planning evaluation and implementation.

[0196] The difference between this step and existing mature ecological simulation or spatial planning technologies lies in the following: First, at the input level, it no longer relies solely on a single ecological indicator or land use type, but simultaneously introduces the self-organizing relationships between spatial units and the time scale. First, it represents the evolution of ecological processes, enabling collaborative verification of spatiotemporal dynamics and self-organizing structures. Second, in terms of analysis mechanism, it breaks through static matching or one-way simulation methods, and through dynamic adjustment driven by consistent evaluation results, it ensures that the planning structure continuously conforms to the evolutionary characteristics of ecological processes within the complete time series. Third, at the output level, it forms a comprehensive result that simultaneously includes the planning structure, self-organizing relationships, and ecological process simulation status, achieving a deep integration of planning expression and ecological processes, rather than just obtaining a single planning layout or ecological simulation conclusion.

[0197] Example 2:

[0198] This embodiment provides a scenario for the practical application of a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation:

[0199] Taking a typical grassland pastoral area as an application scenario, this region is characterized by herder settlements, seasonal grazing pastures, water sources, and natural ecological buffer zones. This area has long faced the challenge of coordinating the spatial layout of pastoral settlements with grassland ecological restoration; traditional planning methods struggle to simultaneously consider both the production and living needs of herders and the evolutionary characteristics of ecological processes.

[0200] During the implementation process, the planning area was first divided into several pastoral spatial units based on the terrain conditions, grassland type distribution and existing pastoral facilities in the region. The ecological process types and basic characteristics carried by each spatial unit were then clarified to form a unified expression of spatial unit carrying relationships, providing a basis for subsequent analysis.

[0201] Subsequently, based on the aforementioned spatial units, ecological processes such as grassland growth changes, water use, and vegetation restoration were continuously characterized over time, resulting in characterizations reflecting the evolutionary features of ecological processes in each spatial unit. These results are used to reflect the changes in the ecological state of different spatial units at different time stages, providing a basis for identifying the relationships between spatial units.

[0202] Based on this, through comparative analysis of the evolutionary characteristics of ecological processes, spatial units with synergistic or dependent relationships in ecological evolution trends are identified, and a self-organizing relationship structure among pastoral and residential spatial units is constructed accordingly, so that residential space, grazing space and ecological buffer space form a spatial organization form that conforms to the evolutionary laws of ecological processes.

[0203] Subsequently, the aforementioned self-organizing relationships were consistently organized. Combining existing planning constraints and spatial expression requirements, the spatial units and their relationships were organized into a planning structure expression that can be directly used for planning analysis and display, enabling it to be intuitively presented and invoked on the geographic information system platform.

[0204] Finally, the revised planning structure is combined with the aforementioned ecological process evolution representation to simulate and verify the ecological process performance of the planning structure at different time stages. Spatial unit relationships that do not match the ecological process evolution are identified and adjusted, resulting in a self-organizing planning outcome for grassland pastoral spaces that integrates ecological process simulation. This outcome can provide a reliable basis for optimizing pastoral area construction layout, ecological protection zoning, and livestock production arrangements.

[0205] Example 3:

[0206] This embodiment also provides a computer device applicable to a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation as proposed in the above embodiment.

[0207] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation as proposed in the above embodiments.

[0208] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0209] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0210] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0211] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0212] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0213] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation, characterized in that, Includes the following steps: S1. To establish a unified expression basis for the relationship between grassland pastoral spatial units and ecological process carrying capacity; S2. Use spatial unit carrying relationships to characterize the temporal evolution of ecological processes and obtain an ecological process evolution representation set; S3. Use the ecological process evolution characterization set to generate the self-organizing relationship structure between spatial units, and obtain the self-organizing relationship set of pastoral space; S4. Use the self-organizing relation set of pastoral living spaces to organize planning constraints in a consistent manner to obtain an executable planning structure expression; S5. Using the planning structure expression and ecological process evolution representation set, ecological process simulation verification is performed to obtain the self-organizing planning results of grassland pastoral space that integrates ecological process simulation.

2. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation as described in claim 1, characterized in that, Step S1 transforms the grassland pastoral area into a set of spatial units with clear spatial boundaries and defined ecological process carrying capacity. Step S1, in the process of constructing a unified representation, includes the following steps: Determining and unifying the spatial scope of grassland pastoral living; Division and identification of grassland pastoral living space units; Identification and aggregation of ecological attributes of spatial units; The transformation from ecological attributes to ecological process carrying relationships.

3. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation according to claim 2, characterized in that, After constructing the unified expression, step S1 yields the following: ； in: : Represents the overall output of step S1, which is the unified expression basis for the relationship between grassland pastoral spatial units and ecological process carrying capacity; : Indicates the total number of grassland pastoral spatial units obtained within the study area; : indicates the first The unified representation of each grassland pastoral spatial unit is expressed as follows: ； In the formula: The unique identifier of a spatial unit; : Description of the spatial boundary of a spatial unit; The set of ecological process carrying types corresponding to this spatial unit.

4. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation as described in claim 1, characterized in that, Step S2 introduces a time dimension to continuously characterize the established ecological processes within each spatial unit, forming a foundation for ecological process evolution representation that can be used for subsequent self-organization analysis. Step S2, in the process of characterizing the temporal evolution of ecological processes, includes the following steps: Unified construction of temporal observation states of ecological processes; Evolutionary characterization of temporal changes in ecological processes; A unified organization of the ecological process evolution representation set.

5. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation according to claim 4, characterized in that, In step S2, during the unified construction of the time-series observation state of ecological processes, for each ecological process, at a unified time scale... Construct a sequence of its state changes over time; spatial unit In time The ecological process state is as follows: ； in: Indicated in spatial unit Inner, in time Above, corresponding to the overall state of ecological processes; Reflects the overall performance of the ecological process at that moment; All spatial units share the same time set. .

6. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation as described in claim 4, characterized in that, In step S2, when performing the evolutionary characterization of the temporal changes in ecological processes, For each spatial unit Mapping the complete temporal state of its ecological processes into an evolutionary characterization result Its expression is: ； in: This represents a mapping of the evolution of ecological processes; This mapping is based on time series analysis, for Abstracting the overall characteristics of change; It is used to characterize the changes in ecological processes within the spatial unit over time.

7. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation according to claim 4, characterized in that, In step S2, when organizing the ecological process evolution representation set in a unified manner, the evolution results corresponding to each spatial unit are uniformly collected to form the overall output of step S2, namely the ecological process evolution representation set. Its expression is: 。 8. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation as described in claim 1, characterized in that, Step S3, based on the ecological process evolution characterization results formed in step S2, identifies the naturally formed association structures between grassland pastoral spatial units driven by long-term ecological process evolution, and concludes that: ； in: This represents a set of self-organizing relationships within pastoral living spaces. Each It represents a self-organizing structure consisting of several spatial units and their interrelationships; This indicates the number of self-organizing relationships identified within the study area.

9. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation as described in claim 1, characterized in that, Step S4 involves consistent organization and structural regularization of the self-organizing relation set of pastoral spaces obtained in step S3, transforming it into an executable planning structure expression that can be directly used for subsequent planning or ecological process simulation, thus forming a planning structure object. .

10. The self-organizing planning method for grassland pastoral spaces that integrates ecological process simulation according to claim 1, characterized in that, Step S5 combines the executable planning structure expression obtained in step S4 with the ecological process evolution representation set obtained in step S2. Through ecological process simulation verification, the consistency between the planning structure and ecological evolution is achieved, ultimately generating a self-organizing planning result for grassland pastoral space that integrates ecological process simulation. .

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