A comprehensive evaluation method and apparatus for resource and environmental carrying capacity in ecologically fragile areas

Abstract

This invention discloses a method and apparatus for comprehensive evaluation of resource and environmental carrying capacity in ecologically fragile areas, relating to the field of ecological data processing technology. The method includes determining the boundary lines between ecosystem regions; defining ecological boundary distances and selecting gradient points based on these distances; constructing gradient lines using these gradient points; calculating the attributes of the gradient lines; determining ecologically fragile areas based on these attributes; quantifying the original edge effect by analyzing the differences in ecological indicators between ecologically fragile areas and adjacent ecosystem regions; adjusting the initial influence of the edge effect based on the time series of edge ecological events to obtain the influence of the edge effect; and combining the influence of the edge effect with the time series of non-edge ecological events to determine the resource and environmental carrying capacity of the ecologically fragile areas. This improves the adaptability and accuracy of resource and environmental carrying capacity assessment, further enhancing its reliability and stability.

Description

Technical Field

[0001] This invention relates to the field of ecological data processing technology, and in particular to a method and apparatus for comprehensive evaluation of the resource and environmental carrying capacity of ecologically fragile areas. Background Technology

[0002] The resource and environmental carrying capacity of ecologically fragile areas stems primarily from the increasingly severe challenges posed by global resources and the environment. With rapid economic development and continuous population growth, ecologically fragile areas face multiple pressures, including over-exploitation of resources, exacerbated environmental pollution, and ecosystem degradation. These areas have low sensitivity to external disturbances and low resilience, making their resource and environmental carrying capacity a key factor restricting sustainable development. Therefore, conducting a comprehensive assessment of the resource and environmental carrying capacity of ecologically fragile areas aims to scientifically evaluate the carrying potential and limiting factors of regional resources and the environment, providing a scientific basis for formulating rational development and utilization and ecological protection strategies, and promoting the coordinated development of regional economy and ecological environment.

[0003] In existing technologies, the impact of edge effects is not considered when assessing the resource and environmental carrying capacity of ecologically fragile areas, resulting in low accuracy and adaptability of resource and environmental carrying capacity assessments.

[0004] Therefore, how to improve the accuracy and adaptability of resource and environmental carrying capacity assessment by considering the edge effects of ecologically fragile areas is a technical problem that needs to be solved. Summary of the Invention

[0005] The purpose of this invention is to address the problems of low accuracy and poor adaptability in the assessment of resource and environmental carrying capacity in existing technologies, and to propose a comprehensive evaluation method for resource and environmental carrying capacity in ecologically fragile areas. The method includes:

[0006] The geographic information and ground monitoring information of the area to be analyzed are obtained, and the geographic information and ground monitoring information are integrated to generate an ecological information database of the area to be analyzed. Based on the ecological information database, each ecosystem region in the area to be analyzed is determined, thereby obtaining the boundary lines between ecosystem regions.

[0007] Using GIS software, the center point of each ecosystem region is determined, the distance between the center point and the boundary line is calculated to define the ecological boundary distance, gradient points are selected based on the ecological boundary distance, gradient lines are constructed using the gradient points, the attributes of the gradient lines are calculated, multiple imprint points are set on the gradient lines based on the attributes, and ecologically vulnerable areas are determined based on the multiple imprint points and the boundary line.

[0008] Ecological indicators of ecologically vulnerable areas and adjacent ecosystem areas are obtained, and the original edge effect is quantified by the difference between the ecological indicators of ecologically vulnerable areas and adjacent ecosystem areas to obtain the initial influence of the edge effect.

[0009] All ecological events occurring in ecologically fragile areas are collected and classified into marginal and non-marginal ecological events according to a pre-defined ecological event reflection table. This allows for the construction of time series for both marginal and non-marginal ecological events. The initial impact of marginal effects is adjusted based on the time series of marginal ecological events to obtain the overall impact of marginal effects. The resource and environmental carrying capacity of ecologically fragile areas is then determined by combining the impact of marginal effects with the time series of non-marginal ecological events.

[0010] In some embodiments of this application, geographic information and ground monitoring information are integrated to generate an ecological information database for the area to be analyzed. Based on this ecological information database, each ecosystem region within the area to be analyzed is determined, thereby obtaining the boundary lines between the ecosystem regions, including:

[0011] Analyze ground monitoring information to determine all types of ground ecosystems, and combine it with geographic information to construct an ecological information database for the area to be analyzed. The ecological information database stores the geographic location information of all ecosystem types.

[0012] Different ecosystem regions are divided according to geographical location information and ecosystem type, and the overlapping parts between multiple ecosystem regions are used as the boundary lines between ecosystem regions.

[0013] In some embodiments of this application, the distance between the center point and the boundary line is calculated to define the ecological boundary distance, including:

[0014] Determine the midpoint and endpoints on the boundary line, and randomly select several points on the boundary line other than the midpoint and endpoints. Calculate the distances from the center point within the ecosystem area to the midpoint, endpoints, and random points, respectively, and denot them as center distance, endpoint distance, and random distance.

[0015] Ecological boundary distance is determined based on center distance, endpoint distance, and random distance. Ecological boundary distance describes the relative average distance from an ecosystem region to its boundary line.

[0016]

[0017] Where X is the ecological boundary distance, Q1 is the center distance, Q2 and Q3 are the endpoint distances, n is the number of random points on the boundary line, and W i Let be the random distance to the i-th random point, and exp be an exponential function, max(Q1, Q2, Q3, W). i ) is the maximum value among center distance, endpoint distance and random distance, and k is a preset constant.

[0018] In some embodiments of this application, gradient points are selected based on ecological boundary distances, and gradient lines are constructed using these gradient points, including:

[0019] The ecological boundary distance is mapped to obtain the ratio of the inner and outer layers. A semi-ecological semi-boundary area is constructed by the center point and the boundary line. According to the ratio of the inner and outer layers, the semi-ecological semi-boundary area is divided into two parts: the outer layer area and the inner layer area. The outer layer area includes the boundary line, and the inner layer area includes the center point.

[0020] Set gradient thresholds for the outer and inner regions, with the gradient threshold for the outer region being greater than that for the inner region. Use these gradient thresholds to filter gradient points within the outer and inner regions, and connect all the gradient points to construct a gradient line.

[0021] In some embodiments of this application, the properties of the gradient line are calculated, and multiple imprint points on the gradient line are set according to the properties of the gradient line, including:

[0022] The properties of a gradient line include length and curvature. The number of imprint points is determined based on the length of the gradient line. The number of imprint points is converted into a number of ranks. Multiple points are evenly placed on the gradient line, and the curvature of each point is calculated. The curvature of each point is sorted to obtain the curvature ranking. The curvature ranking is truncated according to the ranking to obtain multiple corresponding points, and these points are recorded as imprint points.

[0023] In some embodiments of this application, the initial influence of the edge effect is obtained by quantifying the difference in ecological indicators between ecologically vulnerable areas and adjacent ecosystem areas, including:

[0024] The ecological indicators of ecologically fragile areas and adjacent ecosystem areas are standardized, and the difference between each ecological indicator is calculated. The initial influence of the edge effect is quantified based on the difference in ecological indicators.

[0025]

[0026] Where Y represents the initial impact of the edge effect, m represents the number of ecological indicators, and G1 j G2 represents the j-th ecological indicator in an ecologically fragile region. j G3 represents the j-th ecological indicator of the adjacent ecosystem region on one side of the ecologically fragile area. j , is the j-th ecological indicator of the adjacent ecosystem region on the other side of the ecologically fragile region.

[0027] In some embodiments of this application, the initial influence of the edge effect is adjusted based on the time series of edge ecological events to obtain the influence of the edge effect, including:

[0028] The length of the marginal ecological event time series is determined, and the marginal ecological event time series is divided into multiple sub-event time series based on the length of the marginal ecological event time series. The influence of each event is analyzed, and the influence of each sub-event time series is calculated. The influence of each sub-event time series is integrated, and a trimming coefficient is determined based on the influence of the integrated marginal ecological event time series. The initial influence of the marginal effect is adjusted by the trimming coefficient to obtain the influence of the marginal effect.

[0029] In some embodiments of this application, the resource and environmental carrying capacity of ecologically vulnerable areas is determined by combining the influence of edge effects and time series of non-edge ecological events, including:

[0030] This study analyzes the impact of time series of non-marginal ecological events, determines the carrying capacity of various resources and the environment through ecological indicators of ecologically fragile areas, integrates the carrying capacity of various resources and the environment to obtain the comprehensive carrying capacity of resources and the environment, and adjusts the comprehensive carrying capacity of resources and the environment by combining the impact of the marginal effect and the impact of time series of non-marginal ecological events, and outputs the adjusted carrying capacity of resources and the environment of ecologically fragile areas.

[0031] Correspondingly, this application also provides a comprehensive evaluation device for the resource and environmental carrying capacity of ecologically fragile areas, comprising:

[0032] The first module is used to acquire geographic information and ground monitoring information of the area to be analyzed, integrate the geographic information and ground monitoring information to generate an ecological information database of the area to be analyzed, and determine each ecosystem region within the area to be analyzed based on the ecological information database, thereby obtaining the boundary lines between ecosystem regions.

[0033] The second module is used to determine the center point of each ecosystem area using GIS software, calculate the distance between the center point and the boundary line to define the ecological boundary distance, filter gradient points based on the ecological boundary distance, construct gradient lines through gradient points, calculate the attributes of the gradient lines, set multiple imprint points on the gradient lines based on the attributes of the gradient lines, and determine ecologically vulnerable areas based on multiple imprint points and the boundary line.

[0034] The third module is used to obtain ecological indicators of ecologically fragile areas and adjacent ecosystem areas, and to quantify the original edge effect by the difference between the ecological indicators of ecologically fragile areas and adjacent ecosystem areas, so as to obtain the initial influence of the edge effect.

[0035] The fourth module is used to collect all ecological events occurring in ecologically fragile areas and classify them into marginal ecological events and non-marginal ecological events according to a preset ecological event reflection table. This allows for the construction of time series for marginal and non-marginal ecological events. The initial influence of the marginal effect is adjusted based on the time series of marginal ecological events to obtain the influence of the marginal effect. The influence of the marginal effect and the time series of non-marginal ecological events are then combined to determine the resource and environmental carrying capacity of the ecologically fragile areas.

[0036] By applying the above technical solutions, this application determines the extent of ecologically vulnerable areas through boundary lines, gradient lines, and their attributes, laying a solid foundation for subsequent assessments of these areas. It quantifies the original edge effects by analyzing the differences in ecological indicators between ecologically vulnerable areas and adjacent ecosystem regions, and adjusts these original edge effects based on edge ecological events, thereby obtaining an accurate understanding of the impact of edge effects and improving the adaptability and accuracy of resource and environmental carrying capacity assessments. Furthermore, by combining non-edge ecological events to determine the final resource and environmental carrying capacity of ecologically vulnerable areas, the reliability and stability of resource and environmental carrying capacity assessments are further improved, ensuring the effectiveness of monitoring ecologically vulnerable areas. Attached Figure Description

[0037] Figure 1 This is a flowchart illustrating a comprehensive evaluation method for the resource and environmental carrying capacity of ecologically fragile areas proposed in this invention.

[0038] Figure 2 This is a schematic diagram of the structure of a comprehensive evaluation device for the resource and environmental carrying capacity of ecologically fragile areas proposed in this invention. Detailed Implementation

[0039] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0040] Reference Figure 1 A comprehensive evaluation method for the resource and environmental carrying capacity of ecologically fragile areas includes the following steps:

[0041] Step S101: Obtain geographic information and ground monitoring information of the area to be analyzed, integrate the geographic information and ground monitoring information to generate an ecological information database of the area to be analyzed, and determine each ecosystem region within the area to be analyzed based on the ecological information database, thereby obtaining the boundary lines between ecosystem regions.

[0042] In this embodiment, ecologically vulnerable areas refer to regions with weak resistance to interference, strong spatiotemporal fluctuations, and sensitivity to changes in the external environment. These areas are often located at the boundaries of different types of ecosystems, such as vulnerable areas at the forest-grassland interface, vulnerable areas in desert-oasis zones, vulnerable areas in grassland-desert zones, etc. Geographic information refers to geographical location. Ground monitoring information is obtained by using remote sensing technology (such as satellite imagery and drone aerial photography) to acquire high-resolution images of the area to be analyzed, as well as ecological data (including vegetation cover, soil type, hydrological conditions, etc.) from ground monitoring stations. Combining high-resolution images and ecological data, the specific ecological type of the ground in the area to be analyzed is determined, and different ecosystem types (such as forests, grasslands, wetlands, etc.) are identified.

[0043] In some embodiments of this application, geographic information and ground monitoring information are integrated to generate an ecological information database for the area to be analyzed. Based on this ecological information database, each ecosystem region within the area to be analyzed is determined, thereby obtaining the boundary lines between the ecosystem regions, including:

[0044] Analyze ground monitoring information to determine all types of ground ecosystems, and combine it with geographic information to construct an ecological information database for the area to be analyzed. The ecological information database stores the geographic location information of all ecosystem types.

[0045] Different ecosystem regions are divided according to geographical location information and ecosystem type, and the overlapping parts between multiple ecosystem regions are used as the boundary lines between ecosystem regions.

[0046] In this embodiment, the boundary line is the overlapping edge line between different types of ecosystem areas, and ecologically fragile areas are often located near it.

[0047] Step S102: Use GIS software to determine the center point of each ecosystem area, calculate the distance between the center point and the boundary line to define the ecological boundary distance, filter gradient points based on the ecological boundary distance, construct gradient lines using gradient points, calculate the attributes of the gradient lines, set multiple imprint points on the gradient lines based on the attributes of the gradient lines, and determine ecologically vulnerable areas based on the multiple imprint points and the boundary line.

[0048] In this embodiment, to more accurately determine the extent of ecologically vulnerable areas (near the boundary line), the center point of each ecosystem region is calculated, and a relative average distance, i.e., the ecological boundary distance, is defined to describe the approximate distance between the ecosystem region and the boundary line. Furthermore, gradient points are selected based on this distance to construct a gradient line to aid in the identification of ecologically vulnerable areas.

[0049] In some embodiments of this application, the distance between the center point and the boundary line is calculated to define the ecological boundary distance, including:

[0050] Determine the midpoint and endpoints on the boundary line, and randomly select several points on the boundary line other than the midpoint and endpoints. Calculate the distances from the center point within the ecosystem area to the midpoint, endpoints, and random points, respectively, and denot them as center distance, endpoint distance, and random distance.

[0051] Ecological boundary distance is determined based on center distance, endpoint distance, and random distance. Ecological boundary distance describes the relative average distance from an ecosystem region to its boundary line.

[0052]

[0053] Where X is the ecological boundary distance, Q1 is the center distance, Q2 and Q3 are the endpoint distances, n is the number of random points on the boundary line, and W i Let be the random distance to the i-th random point, and exp be an exponential function.

[0054] max(Q1, Q2, Q3, W) i ) is the maximum value among center distance, endpoint distance and random distance, and k is a preset constant.

[0055] In this embodiment, to ensure the reliability of the distance definition, the sum of the three distances—center distance, endpoint distance, and random distance—is corrected by the maximum value among them, and then the average value is taken. There are two endpoint distances (the distances from each end of the boundary line to the center point).

[0056] In some embodiments of this application, gradient points are selected based on ecological boundary distances, and gradient lines are constructed using these gradient points, including:

[0057] The ecological boundary distance is mapped to obtain the ratio of the inner and outer layers. A semi-ecological semi-boundary area is constructed by the center point and the boundary line. According to the ratio of the inner and outer layers, the semi-ecological semi-boundary area is divided into two parts: the outer layer area and the inner layer area. The outer layer area includes the boundary line, and the inner layer area includes the center point.

[0058] Set gradient thresholds for the outer and inner regions, with the gradient threshold for the outer region being greater than that for the inner region. Use these gradient thresholds to filter gradient points within the outer and inner regions, and connect all the gradient points to construct a gradient line.

[0059] In this embodiment, different ecological boundary distances correspond to different inner-outer layer ratios. A semi-ecological, semi-boundary region is constructed using a center point and boundary line (formed by extending the center point or connecting the center point and boundary line using GIS software). The semi-ecological, semi-boundary region is divided into an outer layer and an inner layer according to the inner-outer layer ratio (which could be an area ratio, width ratio, etc.). The outer layer is the area close to and includes the boundary line, while the inner layer is the area close to and includes the center point. Generally, the farther away from the ecological boundary line, the more stable the ecosystem attributes may be, with a relatively small gradient threshold; conversely, the closer to the ecological boundary line, the more drastic the changes in ecosystem attributes may be, with a relatively large gradient threshold. This is because ecological boundary regions are often transitional zones between different ecosystems, possessing higher biodiversity and more complex ecological processes, thus the spatial changes in ecosystem attributes may be more significant.

[0060] In this embodiment, "gradient" typically refers to the rate or degree of change of a certain ecological characteristic (climate, vegetation, soil, etc.) or variable in space. It is used to describe how an attribute in an ecosystem changes from one location to another, especially under different environmental conditions. A preset distance is used, and gradient points are selected within two regions according to screening criteria (gradient threshold).

[0061] In some embodiments of this application, the properties of the gradient line are calculated, and multiple imprint points on the gradient line are set according to the properties of the gradient line, including:

[0062] The properties of a gradient line include length and curvature. The number of imprint points is determined based on the length of the gradient line. The number of imprint points is converted into a number of ranks. Multiple points are evenly placed on the gradient line, and the curvature of each point is calculated. The curvature of each point is sorted to obtain the curvature ranking. The curvature ranking is truncated according to the ranking to obtain multiple corresponding points, and these points are recorded as imprint points.

[0063] In this embodiment, length refers to the overall length of the gradient line, and curvature refers to the curvature of a point or portion of the gradient line. To further accurately identify points with significant variations, points are selected based on curvature, with those having the largest curvature being designated as imprints. The longer the gradient line, the more imprints are generated. The number of imprints is converted into rankings representing an equal number of points, and the curvature is then truncated according to these rankings. For example, if there are 26 imprints, the rankings are also the top 26. The curvature ranking is from largest to smallest, meaning the first point has the largest curvature. The points corresponding to the top 26 are then designated as imprints. An ecologically vulnerable area is then formed based on these imprints and the boundary line.

[0064] Step S103: Obtain ecological indicators of the ecologically vulnerable area and adjacent ecosystem areas, and quantify the original edge effect by the difference between the ecological indicators of the ecologically vulnerable area and adjacent ecosystem areas to obtain the initial influence of the edge effect.

[0065] In this embodiment, the edge effect refers to the phenomenon at the boundary between different ecosystems or biological communities, where differences in environmental conditions and interpenetration of species lead to significant differences in biodiversity, productivity, and other ecological characteristics compared to those within a single ecosystem or biological community. The impact of the edge effect is assessed by comparing the differences in various ecological aspects between the boundary area and adjacent single ecosystems or biological communities.

[0066] In some embodiments of this application, the initial influence of the edge effect is obtained by quantifying the difference in ecological indicators between ecologically vulnerable areas and adjacent ecosystem areas, including:

[0067] The ecological indicators of ecologically fragile areas and adjacent ecosystem areas are standardized, and the difference between each ecological indicator is calculated. The initial influence of the edge effect is quantified based on the difference in ecological indicators.

[0068]

[0069] Where Y represents the initial impact of the edge effect, m represents the number of ecological indicators, and G1 j G2 represents the j-th ecological indicator in an ecologically fragile region. j G3 represents the j-th ecological indicator of the adjacent ecosystem region on one side of the ecologically fragile area. j , is the j-th ecological indicator of the adjacent ecosystem region on the other side of the ecologically fragile region.

[0070] In this embodiment, under normal circumstances, an ecologically fragile area is adjacent to two adjacent ecosystem areas on both sides. The difference between the ecological indicators of the two sides is calculated, and then the average value is taken and integrated. Finally, the average value of the categories (which is greater than the average value) is taken.

[0071] Step S104: Collect all ecological events occurring in the ecologically fragile area, and classify the ecological events into marginal ecological events and non-marginal ecological events according to the preset ecological event reflection table, thereby constructing the time series of marginal ecological events and non-marginal ecological events. Adjust the initial influence of the marginal effect according to the time series of marginal ecological events to obtain the influence of the marginal effect. Combine the influence of the marginal effect and the time series of non-marginal ecological events to determine the resource and environmental carrying capacity of the ecologically fragile area.

[0072] In this embodiment, ecological events (natural disasters, biodiversity changes, environmental pollution events, etc.) occurring in ecologically vulnerable areas can directly or indirectly characterize changes in resource and environmental carrying capacity. These events typically reflect the ecosystem's response capacity and recovery potential in the face of external pressures, thus revealing dynamic changes in resource and environmental carrying capacity. The ecological event reflection table indicates whether each event is related to edge effects, thereby classifying the events. A time series of edge ecological events and a time series of non-edge ecological events are constructed according to the chronological order of their occurrence, adjusting the initial influence of edge effects through edge ecological events.

[0073] In some embodiments of this application, the initial influence of the edge effect is adjusted based on the time series of edge ecological events to obtain the influence of the edge effect, including:

[0074] The length of the marginal ecological event time series is determined, and the marginal ecological event time series is divided into multiple sub-event time series based on the length of the marginal ecological event time series. The influence of each event is analyzed, and the influence of each sub-event time series is calculated. The influence of each sub-event time series is integrated, and a trimming coefficient is determined based on the influence of the integrated marginal ecological event time series. The initial influence of the marginal effect is adjusted by the trimming coefficient to obtain the influence of the marginal effect.

[0075] In this embodiment, the impact of each event on resources and the environment is evaluated and analyzed to determine the influence of each event. Different influences correspond to different adjustment factors, and the adjustment factor * the initial influence of the edge effect = the influence of the edge effect.

[0076] In some embodiments of this application, the resource and environmental carrying capacity of ecologically vulnerable areas is determined by combining the influence of edge effects and time series of non-edge ecological events, including:

[0077] This study analyzes the impact of time series of non-marginal ecological events, determines the carrying capacity of various resources and the environment through ecological indicators of ecologically fragile areas, integrates the carrying capacity of various resources and the environment to obtain the comprehensive carrying capacity of resources and the environment, and adjusts the comprehensive carrying capacity of resources and the environment by combining the impact of the marginal effect and the impact of time series of non-marginal ecological events, and outputs the adjusted carrying capacity of resources and the environment of ecologically fragile areas.

[0078] In this embodiment, the comprehensive resource and environmental carrying capacity is determined through data indicators and ecological indicators, and then adjusted by combining the event dimension. The influence of edge effects and the influence of non-edge ecological events each correspond to different adjustment coefficients, which are then multiplied by the original resource and environmental carrying capacity for optimization.

[0079] It should be noted that the correspondences mentioned above can be derived from historical experience or from mathematical relational models.

[0080] By applying the above technical solutions, geographic information and ground monitoring information of the area to be analyzed are obtained. These are then integrated to generate an ecological information database for the area. Based on this database, each ecosystem region within the analysis area is determined, thus obtaining the boundary lines between these regions. GIS software is used to determine the center point of each ecosystem region, and the distance from the center point to the boundary line is calculated to define the ecological boundary distance. Gradient points are then selected based on these distances, and gradient lines are constructed using these points. The attributes of the gradient lines are calculated, and multiple imprint points are set on these lines based on their attributes. Finally, based on these imprint points and the boundary lines, ecologically vulnerable areas are identified. This paper proposes a method to determine the resource and environmental carrying capacity of an ecologically fragile area. Ecological indicators from both the fragile area and adjacent ecosystems are used to quantify the initial edge effect by analyzing the differences between these indicators. All ecological events occurring within the fragile area are collected and categorized into edge and non-edge events according to a pre-defined ecological event reflection table. This constructs time series for both edge and non-edge events. The initial edge effect is then adjusted based on the edge event time series to determine its overall impact. Finally, the resource and environmental carrying capacity of the fragile area is determined by combining the edge effect impact with the non-edge event time series. This application uses boundary lines, gradient lines, and their attributes to define the extent of the fragile area, laying a solid foundation for subsequent assessments. Quantifying the initial edge effect by analyzing the differences between ecological indicators from the fragile area and adjacent ecosystems, and adjusting for edge events, provides an accurate assessment of the edge effect's impact, improving the adaptability and accuracy of resource and environmental carrying capacity assessments. Furthermore, combining non-edge events to determine the final resource and environmental carrying capacity of the fragile area further enhances the reliability and stability of resource and environmental carrying capacity assessments, ensuring the effectiveness of monitoring the fragile area.

[0081] Through the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware or by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) and includes several instructions to cause a computer device (such as a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0082] Correspondingly, this application also provides a comprehensive evaluation device for the resource and environmental carrying capacity of ecologically fragile areas, such as... Figure 2 As shown, it includes:

[0083] The first module is used to acquire geographic information and ground monitoring information of the area to be analyzed, integrate the geographic information and ground monitoring information to generate an ecological information database of the area to be analyzed, and determine each ecosystem region within the area to be analyzed based on the ecological information database, thereby obtaining the boundary lines between ecosystem regions.

[0084] The second module is used to determine the center point of each ecosystem area using GIS software, calculate the distance between the center point and the boundary line to define the ecological boundary distance, filter gradient points based on the ecological boundary distance, construct gradient lines through gradient points, calculate the attributes of the gradient lines, set multiple imprint points on the gradient lines based on the attributes of the gradient lines, and determine ecologically vulnerable areas based on multiple imprint points and the boundary line.

[0085] The third module is used to obtain ecological indicators of ecologically fragile areas and adjacent ecosystem areas, and to quantify the original edge effect by the difference between the ecological indicators of ecologically fragile areas and adjacent ecosystem areas, so as to obtain the initial influence of the edge effect.

[0086] The fourth module is used to collect all ecological events occurring in ecologically fragile areas and classify them into marginal ecological events and non-marginal ecological events according to a preset ecological event reflection table. This allows for the construction of time series for marginal and non-marginal ecological events. The initial influence of the marginal effect is adjusted based on the time series of marginal ecological events to obtain the influence of the marginal effect. The influence of the marginal effect and the time series of non-marginal ecological events are then combined to determine the resource and environmental carrying capacity of the ecologically fragile areas.

[0087] Those skilled in the art will understand that the modules in the apparatus of the implementation scenario can be distributed within the apparatus of the implementation scenario as described, or they can be located in one or more apparatuses different from this implementation scenario, with corresponding changes. The modules of the above-described implementation scenario can be combined into one module, or they can be further divided into multiple sub-modules.

[0088] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A comprehensive evaluation method for the resource and environmental carrying capacity of ecologically fragile areas, characterized in that, include: The geographic information and ground monitoring information of the area to be analyzed are obtained, and the geographic information and ground monitoring information are integrated to generate an ecological information database of the area to be analyzed. Based on the ecological information database, each ecosystem region in the area to be analyzed is determined, thereby obtaining the boundary lines between ecosystem regions. Using GIS software, the center point of each ecosystem region is determined, the distance between the center point and the boundary line is calculated to define the ecological boundary distance, gradient points are selected based on the ecological boundary distance, gradient lines are constructed using the gradient points, the attributes of the gradient lines are calculated, multiple imprint points are set on the gradient lines based on the attributes, and ecologically vulnerable areas are determined based on the multiple imprint points and the boundary line. Ecological indicators of ecologically vulnerable areas and adjacent ecosystem areas are obtained, and the original edge effect is quantified by the difference between the ecological indicators of ecologically vulnerable areas and adjacent ecosystem areas to obtain the initial influence of the edge effect. All ecological events occurring in ecologically fragile areas are collected and classified into marginal and non-marginal ecological events according to a pre-defined ecological event reflection table. This allows for the construction of time series for both marginal and non-marginal ecological events. The initial impact of marginal effects is adjusted based on the time series of marginal ecological events to obtain the overall impact of marginal effects. The resource and environmental carrying capacity of ecologically fragile areas is then determined by combining the impact of marginal effects with the time series of non-marginal ecological events.

2. The comprehensive evaluation method for resource and environmental carrying capacity of ecologically fragile areas according to claim 1, characterized in that, By integrating geographic information and ground monitoring information, an ecological information database for the area to be analyzed is generated. Based on this database, each ecosystem region within the analyzed area is determined, thereby obtaining the boundaries between these ecosystem regions, including: Analyze ground monitoring information to determine all types of ground ecosystems, and combine it with geographic information to construct an ecological information database for the area to be analyzed. The ecological information database stores the geographic location information of all ecosystem types. Different ecosystem regions are divided according to geographical location information and ecosystem type, and the overlapping parts between multiple ecosystem regions are used as the boundary lines between ecosystem regions.

3. The comprehensive evaluation method for resource and environmental carrying capacity of ecologically fragile areas according to claim 2, characterized in that, Ecological boundary distances are defined by calculating the distance between the center point and the boundary line, including: Determine the midpoint and endpoints on the boundary line, and randomly select several points on the boundary line other than the midpoint and endpoints. Calculate the distances from the center point within the ecosystem area to the midpoint, endpoints, and random points, respectively, and denot them as center distance, endpoint distance, and random distance. Ecological boundary distance is determined based on center distance, endpoint distance, and random distance. Ecological boundary distance describes the relative average distance from an ecosystem region to its boundary line. Where X is the ecological boundary distance, Q1 is the center distance, Q2 and Q3 are the endpoint distances, n is the number of random points on the boundary line, and W i Let be the random distance to the i-th random point, and exp be an exponential function, max(Q1, Q2, Q3, W). i ) is the maximum value among center distance, endpoint distance and random distance, and k is a preset constant.

4. The comprehensive evaluation method for resource and environmental carrying capacity of ecologically fragile areas according to claim 1, characterized in that, Furthermore, gradient points are selected based on their distance from the ecological boundary, and gradient lines are constructed using these gradient points, including: The ecological boundary distance is mapped to obtain the ratio of the inner and outer layers. A semi-ecological semi-boundary area is constructed by the center point and the boundary line. According to the ratio of the inner and outer layers, the semi-ecological semi-boundary area is divided into two parts: the outer layer area and the inner layer area. The outer layer area includes the boundary line, and the inner layer area includes the center point. Set gradient thresholds for the outer and inner regions, with the gradient threshold for the outer region being greater than that for the inner region. Use these gradient thresholds to filter gradient points within the outer and inner regions, and connect all the gradient points to construct a gradient line.

5. The comprehensive evaluation method for resource and environmental carrying capacity of ecologically fragile areas according to claim 1, characterized in that, Calculate the properties of the gradient line, and set multiple imprint points on the gradient line based on these properties, including: The properties of a gradient line include length and curvature. The number of imprint points is determined based on the length of the gradient line. The number of imprint points is converted into a number of ranks. Multiple points are evenly placed on the gradient line, and the curvature of each point is calculated. The curvature of each point is sorted to obtain the curvature ranking. The curvature ranking is truncated according to the ranking to obtain multiple corresponding points, and these points are recorded as imprint points.

6. The comprehensive evaluation method for resource and environmental carrying capacity of ecologically fragile areas according to claim 1, characterized in that, Furthermore, the initial edge effect is quantified by the differences in ecological indicators between ecologically vulnerable areas and adjacent ecosystem areas, thus obtaining the initial impact of the edge effect, including: The ecological indicators of ecologically fragile areas and adjacent ecosystem areas are standardized, and the difference between each ecological indicator is calculated. The initial influence of the edge effect is quantified based on the difference in ecological indicators. Where Y represents the initial impact of the edge effect, m represents the number of ecological indicators, and G1 j G2 represents the j-th ecological indicator in an ecologically fragile region. j G3 represents the j-th ecological indicator of the adjacent ecosystem region on one side of the ecologically fragile area. j The first ecological indicator is the adjacent ecosystem region on the other side of the ecologically fragile area.

7. The comprehensive evaluation method for resource and environmental carrying capacity of ecologically fragile areas according to claim 1, characterized in that, The initial impact of edge effects is adjusted based on the time series of edge ecological events to obtain the overall impact of edge effects, including: The length of the marginal ecological event time series is determined, and the marginal ecological event time series is divided into multiple sub-event time series based on the length of the marginal ecological event time series. The influence of each event is analyzed, and the influence of each sub-event time series is calculated. The influence of each sub-event time series is integrated, and a trimming coefficient is determined based on the influence of the integrated marginal ecological event time series. The initial influence of the marginal effect is adjusted by the trimming coefficient to obtain the influence of the marginal effect.

8. The comprehensive evaluation method for resource and environmental carrying capacity of ecologically fragile areas according to claim 1, characterized in that, The resource and environmental carrying capacity of ecologically vulnerable areas is determined by combining the impact of edge effects with time series of non-edge ecological events, including: This study analyzes the impact of time series of non-marginal ecological events, determines the carrying capacity of various resources and the environment through ecological indicators of ecologically fragile areas, integrates the carrying capacity of various resources and the environment to obtain the comprehensive carrying capacity of resources and the environment, and adjusts the comprehensive carrying capacity of resources and the environment by combining the impact of the marginal effect and the impact of time series of non-marginal ecological events, and outputs the adjusted carrying capacity of resources and the environment of ecologically fragile areas.

9. A comprehensive evaluation device for the resource and environmental carrying capacity of ecologically fragile areas, characterized in that, include: The first module is used to acquire geographic information and ground monitoring information of the area to be analyzed, integrate the geographic information and ground monitoring information to generate an ecological information database of the area to be analyzed, and determine each ecosystem region within the area to be analyzed based on the ecological information database, thereby obtaining the boundary lines between ecosystem regions. The second module is used to determine the center point of each ecosystem area using GIS software, calculate the distance between the center point and the boundary line to define the ecological boundary distance, filter gradient points based on the ecological boundary distance, construct gradient lines through gradient points, calculate the attributes of the gradient lines, set multiple imprint points on the gradient lines based on the attributes of the gradient lines, and determine ecologically vulnerable areas based on multiple imprint points and the boundary line. The third module is used to obtain ecological indicators of ecologically fragile areas and adjacent ecosystem areas, and to quantify the original edge effect by the difference between the ecological indicators of ecologically fragile areas and adjacent ecosystem areas, so as to obtain the initial influence of the edge effect. The fourth module is used to collect all ecological events occurring in ecologically fragile areas and classify them into marginal ecological events and non-marginal ecological events according to a preset ecological event reflection table. This allows for the construction of time series for marginal and non-marginal ecological events. The initial influence of the marginal effect is adjusted based on the time series of marginal ecological events to obtain the influence of the marginal effect. The influence of the marginal effect and the time series of non-marginal ecological events are then combined to determine the resource and environmental carrying capacity of the ecologically fragile areas.

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