CN115063276A - Urban ecological corridor space dividing method based on MSPA and circuit theory - Google Patents
Urban ecological corridor space dividing method based on MSPA and circuit theory Download PDFInfo
- Publication number
- CN115063276A CN115063276A CN202210550182.4A CN202210550182A CN115063276A CN 115063276 A CN115063276 A CN 115063276A CN 202210550182 A CN202210550182 A CN 202210550182A CN 115063276 A CN115063276 A CN 115063276A
- Authority
- CN
- China
- Prior art keywords
- ecological
- corridor
- urban
- urban ecological
- suitability
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000000877 morphologic effect Effects 0.000 claims abstract description 5
- 238000010276 construction Methods 0.000 claims description 37
- 238000013508 migration Methods 0.000 claims description 36
- 230000005012 migration Effects 0.000 claims description 36
- 238000011161 development Methods 0.000 claims description 15
- 238000012216 screening Methods 0.000 claims description 8
- 238000011156 evaluation Methods 0.000 claims description 7
- 230000001186 cumulative effect Effects 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 241000894007 species Species 0.000 description 27
- 238000010586 diagram Methods 0.000 description 14
- 241001465754 Metazoa Species 0.000 description 6
- 230000008569 process Effects 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 241000555745 Sciuridae Species 0.000 description 3
- 241001530209 Swertia Species 0.000 description 2
- 238000009792 diffusion process Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 241000282994 Cervidae Species 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/34—Smoothing or thinning of the pattern; Morphological operations; Skeletonisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/60—Ecological corridors or buffer zones
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Multimedia (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Primary Health Care (AREA)
- Biodiversity & Conservation Biology (AREA)
- Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Health & Medical Sciences (AREA)
- Remote Sensing (AREA)
- Life Sciences & Earth Sciences (AREA)
Abstract
The invention relates to an urban ecological corridor space dividing method based on MSPA and circuit theory, which comprises the following steps: step 1, performing morphological analysis on an ecological space of a selected area based on MSPA to identify an ecological source area; step 2, combining the landscape type, the ecological quality and the NDVI to construct a comprehensive resistance surface; step 3, importing the comprehensive resistance surface data into a Linkage Mapper, selecting ecological source areas and resistance surfaces, and determining an urban ecological corridor path between any two ecological source areas based on a minimum accumulated resistance model; step 4, performing Centrality calculation and importance classification on the urban ecological corridor by applying a Central Mapper based on a circuit theory; and 5, determining key species of the urban ecological corridor, constructing an suitability index system of the urban ecological corridor space range, and determining the space range priority level of the urban ecological corridor. The method is suitable for recognizing the urban ecological galleries in the high-density urbanized areas, the urban ecological galleries are classified, and the spatial ranges of the urban ecological galleries with different restoration levels are finally recognized.
Description
Technical Field
The invention relates to the technical field of urban ecological planning and construction, in particular to an urban ecological corridor space dividing method based on MSPA and circuit theory.
Background
With the continuous acceleration of the urbanization process, a large amount of land is used for development and construction, and the urban ecological safety pattern is seriously threatened. In particular, large ecological spaces providing biodiversity for cities are gradually fragmented, so that a corridor needs to be planned to construct an ecological network. Most research focuses on naturally occurring potential ecological corridors, but in highly urbanized areas, it is imperative to construct ecological corridors artificially to connect important sources in cities. Achieving this goal urgently requires ecological corridor construction techniques suitable for urbanized areas.
The current ecological corridor construction method is mature, and the process can comprise the following steps:
(1) the source is identified, typically a large range of ecofunctional areas. Ecological indicators, such as environmental suitability, landscape connectivity, and habitat quality, are often included in ecological plaque importance assessments.
(2) Establishing a resistance surface, namely calculating the size of the space resistance to be overcome for communicating the target landscape by establishing a resistance surface index; many studies have assigned resistance values based on land use types. The mode has strong subjectivity and can cover the ecological resistance difference under the same land cover type.
(3) And identifying the path. The least resistance mode is a traditional method of identifying ecological galleries.
(4) And (4) determining the width. The spatial extent of the corridor is determined by the buffer and the threshold.
At present, the construction cognition of the ecological corridor in a highly urbanized area still has defects, and the reasons are the characteristics of a high-density city: the habitat quality is low, the land is complex, so the traditional ecological corridor construction method is not suitable for urban environment, and the existing analysis tool is not utilized sufficiently. Meanwhile, the range of the urban ecological corridor is unclear, and the scientific construction of the urban ecological corridor is restricted. Too narrow galleries can be greatly influenced by human activities, and the range of ecological galleries is too large, so that waste of land resources can be caused. The gallery is suitable in different ranges from different research angles. Many researchers have constructed potential paths of ecological corridors using different methods, but cannot define the spatial extent of ecological corridors. Although some researches have been conducted on the width determination of the ecological corridor, the corridor range determination method is still very general and lacks of certain scientificity.
Disclosure of Invention
In order to solve the technical problems, the invention provides a city ecological corridor space planning method based on MSPA and circuit theory, which is used for carrying out morphological pattern analysis and habitat quality evaluation on a high-density urbanization area, constructing a city ecological corridor identification method suitable for the high-density urbanization area, grading city ecological corridors, identifying the width and the space range of the city ecological corridors, and finally planning the space range of the city ecological corridors to overcome the ecological network limitation on the existing linear layer.
The technical purpose of the invention is realized by the following technical scheme:
a city ecological corridor space dividing method based on MSPA and circuit theory includes the following steps:
step 3, importing the comprehensive resistance surface data into a Linkage Mapper, selecting ecological source areas and resistance surfaces, and determining an urban ecological corridor path between any two ecological source areas based on a minimum accumulated resistance model;
and 5, determining key species of the urban ecological corridor, constructing an suitability index system of the urban ecological corridor range, and performing weighted superposition calculation on indexes in the suitability index system in the urban ecological corridor range to determine the suitable construction range and priority level of the urban ecological corridor.
Further, step 1 comprises: acquiring city geographic information corresponding to each landscape unit in an area to be planned; determining an ecological space and a non-ecological space in the land utilization type; classifying the ecological space layer into a foreground and a background by utilizing ArcGIS; importing the foreground layer and the background layer into Guidos software to run, and determining a core area; and screening the core area larger than 30ha into an urban ecological source area through area screening.
Further, in step 3, minimal cost paths between ecological sources are simulated by means of the MCR model to determineAn urban ecological corridor path between any two ecological source areas is determined,
wherein f represents a minimum cumulative resistance value, D ij Represents the spatial distance, R, from the ecological source j to the spatial cell i i Representing the drag coefficient of cell i.
Further, in step 4, inputting ecological source data and resistance surface data in a central Mapper tool, performing click operation, identifying current density between ecological source areas in the urban ecological corridor, and generating a preliminary Centrality classification map; and re-grading the central grading graph according to centrality by a GIS re-grading tool.
Further, indexes in the suitability index system within the range of the urban ecological corridor comprise a species migration longest distance, a species migration suitability width, a high-mobility potential area and a high-development potential area, and weighted distance calculation, buffer zone setting, potential corridor current density grading and potential corridor construction cost evaluation are respectively carried out on the species migration longest distance, the species migration suitability width, the high-mobility potential area and the high-development potential area.
Further, when the weighted distance calculation is carried out on the longest migration distance of the species, based on a Linkage Mapper tool, the minimum cost path length of the mapping link between each pair of ecological source places is limited to be the maximum cost weighted distance value, and the input source place and resistance surface data operate the Linkage Mapper tool to extract a connecting region within a threshold range; and constructing a suitability factor assignment table, and using a re-classification tool of the GIS to re-assign the connection areas with different maximum cost weighted distance thresholds.
Further, when the migration suitability width of the species is set, determining the migration suitability width value of each species, and performing buffer analysis of the phase suitability width values of different species on the minimum path by using a GIS tool; and constructing a suitability factor value assignment table, and reassigning buffer areas with different width values by using a GIS re-classification tool.
Further, when potential corridor current density grading is carried out on the high-fluidity potential area, source and resistance surface data are input into a Pinchpoint Mapper tool based on a circuit theory, a cost weighted distance is set as a threshold value, the Pinchpoint Mapper tool is operated, and the high-current density area in the ecological corridor is identified; and constructing a suitability factor assignment table, and reassigning the regions with different current density levels by using a re-classification tool of the GIS.
Further, when the potential corridor construction cost evaluation is carried out on the high-development potential area, the potential corridor construction cost is evaluated according to different land utilization types in the city, and the construction suitability of the potential corridor is lower when the construction cost is higher; and constructing a suitability factor assignment table, and using a GIS re-classification tool to re-assign values to different land use type units.
Further, a grid calculator tool of the GIS tool is used for carrying out superposition analysis on indexes in an suitability index system in the urban ecological corridor range, including the longest species migration distance, the species migration suitability width, the high-mobility potential area and the high-development potential area, the reclassification tool of the GIS is used for screening and identifying the suitability construction area of the ecological corridor, and then the determined ecological corridor space range is divided into areas with different priorities according to importance.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention considers the resistance surface construction from the ecological suitability of biological migration by coupling the urban ecological quality analysis and MSPA, and avoids the influence of the land utilization on resistance assignment
2. The landscape type obtained by MSPA is incorporated into the factor of resistance surface construction, and the existing urban ecological space is utilized to the maximum extent, so that the construction cost is reduced.
3. The difference of ecological quality is not considered in the prior art, and the substance flow in the ecological network is covered, but the method introduces a circuit theory to explore the animal migration process in the ecological corridor, and grades the importance of the urban ecological corridor from the functional point of view. The method aims to realize accurate guidance of urban ecological corridor construction, and considers the requirement of animal migration and the current situation of urban environment.
4. In the aspect of planning and construction, the division of the specific space range of the urban ecological corridor links the planning and construction level of the urban ecological corridor, and enhances the feasibility of urban ecological network planning.
5. In the aspect of protection and management, the definition of the space range of the urban ecological corridor is an important way for improving the land utilization efficiency, and the excessive waste and the encroachment of land resources in corridor construction can be avoided.
6. In the aspect of research and evaluation, the feasibility of construction of the urban ecological corridor can be judged in advance in an early stage by determining the space range of the urban ecological corridor, and an index system for evaluating the ecological service value and the structure of the urban ecological corridor can be perfected.
Drawings
Fig. 1 is a flow chart of the urban ecological corridor delimiting method based on the MSPA and the circuit theory.
Fig. 2 is a city landscape type distribution diagram in an embodiment of the invention.
Fig. 3 is a city ecological resistance diagram in an embodiment of the invention.
Fig. 4 is a view of the urban ecological corridor configuration in an embodiment of the present invention.
Fig. 5 is a longest migration distance ranking chart for animals in an embodiment of the invention.
Fig. 6 is a graph of suitable width grading for animal migration in an example of the invention.
Fig. 7 is a high-flow potential zone grading diagram in an embodiment of the invention.
FIG. 8 is a high potential exploitability hierarchy diagram in an embodiment of the invention.
Fig. 9 is a map of the extent of an urban ecological corridor in an embodiment of the invention.
Fig. 10 is an enlarged view of region b of fig. 9 in an embodiment of the present invention.
Fig. 11 is an enlarged view of region c of fig. 9 in an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further described below with reference to specific embodiments:
a city ecological corridor space dividing method based on MSPA and circuit theory includes the following steps:
and acquiring urban geographic information corresponding to each landscape unit in the selected area, wherein the urban geographic information mainly comprises regional administrative boundary vector data, land utilization data and NDVI data. Determining an ecological space and a non-ecological space in the land utilization type in the area, wherein the ecological space comprises grassland, cultivated land, garden, park, green land, forest land, water area and other land.
Taking the above-mentioned maritime minnown region as an example, as shown in fig. 2, it can be seen from the figure that in seven landscape types (landscape types including Branch-line; edge-edge; perfect-Perforation; Islet-island; Core-Core region; Bridge-Bridge; Loop-Loop), the area of the Core region (Core) is the largest, distributed mainly in the southeast corners of the minnown region. Branch lines (Branch), bridges (Bridge), and Loop lines (Loop) may be used to construct gallery components and facilitate connections between urban ecological sources. The joining zone occupied only 11.53% of the ecological space, indicating that the core plaque of the study zone was highly dispersed.
Reclassifying the ecological space layer into a foreground and a background by using a reclassification tool of ArcGIS according to the type of the ecological space, wherein the ecological space is the foreground, and the non-ecological space is the background; and importing the foreground and background layers into Guidos software to run, wherein the MSPA parameters are set as follows: foreground connection-8/4 (default setting); transition-set to "on"; the outer is set to "on". And clicking to operate, and automatically generating the landscape type graph. And extracting a core area according to the landscape type graph.
And screening the core area larger than 30ha into an urban ecological source area through area screening.
in consideration of the actual situation of a highly urbanized area, three indexes of NDVI, habitat quality and MSPA are selected to construct a comprehensive resistance index system (resistance table), which is shown in the following table:
the weight of each resistance factor is then determined according to an analytic hierarchy process. And re-assigning the landscape units with different resistance factors through a re-classification tool of the GIS according to the resistance values corresponding to the landscape units to form a single-factor resistance surface.
And weighting and superposing the resistance factors by using a GIS grid calculator tool to obtain a comprehensive resistance surface. As shown in fig. 3, images of three indices of NDVI, habitat quality and MSPA were superimposed to obtain a comprehensive resistance surface image, and the highest resistance value was set to 300, and it was found that the concentration was mainly in overcrowded houses and commercial districts. Areas of relatively low resistance value are concentrated in the restricted development zone. The resistance values of parks and woodlands are significantly lower than those of surrounding areas.
Step 3, importing the comprehensive resistance surface data into a Linkage Mapper, selecting ecological source areas and resistance surfaces, and determining an urban ecological corridor path between any two ecological source areas based on a minimum accumulated resistance model; the MCR model is based on a GIS platform, simulating the minimum cost path (LCP) between ecological sources, which is the optimal diffusion path for species migration, and is expressed as follows:
wherein f represents a minimum cumulative resistance value, D ij Represents the spatial distance, R, from the ecological source j to the spatial cell i i Representing the drag coefficient of cell i.
And 4, importing ecological source data and comprehensive resistance surface data, performing Centrality calculation on the urban ecological corridor by applying a Central Mapper based on a circuit theory, and performing importance classification on the urban ecological corridor according to the Centrality. According to the current theory, the Centrality of the paths is calculated by using a centricity Mapper tool, and the Centrality calculated by the centricity Mapper tool is a diffusion process simulating ecological currents through currents, so that the importance of the nodes and the minimum resistance paths in the aspect of maintaining the connectivity of the whole network can be quantified.
Inputting ecological source data and resistance surface data in a Central Mapper tool, clicking to operate, identifying current density between ecological sources in the urban ecological corridor, and generating a preliminary Centrality classification map; and re-grading the central grading graph according to centrality by a GIS re-grading tool.
Taking the above Min's region in the Shanxi province as an example, based on the MCR model, 63 ecological galleries are extracted in total, mainly located in the south half of the Min's region. The number of the ecological galleries in the middle of the Minkou is relatively small. The ecological source with the highest centrality is crucial to the urban ecological network, and as shown in fig. 4, the centrality hierarchical diagram is subdivided into three levels according to the centrality hierarchical diagram, wherein 8 levels are primary ecological galleries, 12 levels are secondary ecological galleries, and 43 levels are tertiary ecological galleries.
And 5, determining key species of the urban ecological corridor, wherein three species of a river deer, a squirrel and a toad are selected as the key species of the urban ecological corridor in the embodiment. An suitability index system of the urban ecological corridor range is constructed, and four indexes are determined: longest migration distance of species, wide migration suitability of species, high mobility potential zone and high development potential zone. And (3) carrying out weighted superposition on indexes in the suitability index system in the range of the urban ecological corridor.
Respectively carrying out weighted distance calculation, buffer zone setting, potential corridor current density grading and potential corridor construction cost evaluation on the longest species migration distance, the species migration suitability width, the high-mobility potential area and the high-development potential area:
for the three species selected, the maximum weighted distance values were determined from documented motor events, 5km, 20km and 30km for swertia, squirrel and toad, respectively. When the weighted distance calculation is carried out on the longest migration distance of the species, based on a Linkage Mapper tool, the minimum cost path length of the mapping link between each pair of ecological source places is limited to be the maximum cost weighted distance value, and ecological source place data and comprehensive resistance surface data are input to operate the Linkage Mapper tool to extract a connecting region within a threshold range; and constructing an appropriateness factor assignment table, and reassigning the connecting areas with different maximum cost weighted distance thresholds by using a GIS re-classifying tool, wherein the smaller the extracted threshold is, the higher the appropriateness is, and the smaller the extracted threshold is, the higher the appropriateness is, as shown in an appropriateness index system assignment table.
When a buffer zone is set for the species migration suitability width, determining the migration suitability width value of each species, wherein the migration suitability widths of the swertia, squirrel and toad are respectively 30 meters, 60 meters and 100 meters. Performing buffer analysis of the different species suitable width values on the minimum path by using a GIS tool; and constructing an appropriateness factor assignment table, and reassigning buffer areas with different width values by using a GIS re-classifying tool, wherein the closer the distance from the center of the corridor is, the higher the appropriateness is, and the assignment table of the appropriateness index system shows.
When potential corridor current density classification is carried out on a high-fluidity potential area, ecological source data and comprehensive resistance surface data are input to a Pinchpoint Mapper tool based on a circuit theory, a cost weighting distance is set as a threshold value, the cost weighting distance in the embodiment is 30000m, the Pinchpoint Mapper tool is operated, and a high-current density area in an ecological corridor is identified; and constructing an appropriateness factor assignment table, and reassigning the regions with different current density levels by using a GIS re-sorting tool, wherein the higher the current density is, the greater the appropriateness is, and the assignment table of an appropriateness index system shows.
When the potential corridor construction cost evaluation is carried out on the high-development potential area, the potential corridor construction cost is evaluated according to different land utilization types in the city, and the construction suitability of the potential corridor is lower when the construction cost is higher; and constructing a suitability factor assignment table, and using a GIS reclassification tool to reassign different land use type units, wherein the value of the area covered by the building is lower than that of the area without the building, as shown in the suitability index system assignment table.
The method comprises the steps of determining the suitable construction range and priority level of the urban ecological corridor by using a grid calculator tool of a GIS tool to perform superposition calculation on the longest species migration distance, the species migration suitability width, the high-mobility potential area and the high-development potential area, screening and identifying the suitability construction area of the ecological corridor by using a reclassification tool of the GIS, and then dividing the determined ecological corridor space range into areas with different priorities according to importance. Specifically, an animal migration longest distance grading diagram, an animal migration suitable width grading diagram, a high-mobility potential area grading diagram and a high-potential development grading diagram are superposed to obtain an urban ecological corridor range diagram of fig. 9, as shown in fig. 5-11.
The urban ecological corridor with the most protection value and high potential is determined by superposing the site state diagram and the species demand diagram together to form a comprehensive diagram (figure 9). The closer to the center of the ecological corridor, the higher the level of the restoration area, the ecological quality of the preferential restoration area directly affects the ecological network of the whole area, and the areas should be restored preferentially. As can be seen from figure 9, the corridor width in the central part of the minwhorl is mostly narrow due to the actual breaking state of the urban ecological corridor, due to the concentration of the building land. If recovery measures are not taken in time, the connectivity and ecological functions of the metropolitan ecological network are seriously affected.
The present invention is further explained and not limited by the embodiments, and those skilled in the art can make various modifications as necessary after reading the present specification, but all the embodiments are protected by the patent law within the scope of the claims.
Claims (10)
1. A city ecological corridor space dividing method based on MSPA and circuit theory is characterized by comprising the following steps:
step 1, acquiring urban geographic information corresponding to each landscape unit in a selected area, and performing morphological analysis and identification on an ecological space of the selected area based on MSPA to obtain an ecological source;
step 2, combining the landscape type, the ecological quality and the NDVI to construct a comprehensive resistance surface;
step 3, importing the comprehensive resistance surface data into a Linkage Mapper, selecting ecological source areas and resistance surfaces, and determining an urban ecological corridor path between any two ecological source areas based on a minimum accumulated resistance model;
step 4, importing ecological source data and comprehensive resistance surface data, performing Centrality calculation on the urban ecological corridor by applying a Central Mapper based on a circuit theory, and performing importance classification on the urban ecological corridor according to the Centrality;
and 5, determining key species of the urban ecological corridor, constructing an suitability index system of the urban ecological corridor, and performing weighted superposition calculation on each suitability index of the urban ecological corridor space range to determine the suitable construction space range and priority level of the urban ecological corridor.
2. The method for defining the urban ecological corridor space based on MSPA and circuit theory as claimed in claim 1, wherein the step 1 includes: acquiring city geographic information corresponding to each landscape unit in an area to be planned; determining an ecological space and a non-ecological space in the land utilization type; classifying the ecological space layer into a foreground and a background by utilizing ArcGIS; importing the foreground and background layers into Guidos software to run, and determining a core area; and screening the core area larger than 30ha into an urban ecological source area through area screening.
3. A method according to claim 1 or 2The urban ecological corridor space dividing method based on MSPA and circuit theory is characterized in that in the step 3, the urban ecological corridor path between any two target ecological sources is determined by simulating the minimum cost path between the ecological sources by means of an MCR model,
wherein f represents a minimum cumulative resistance value, D ij Represents the spatial distance, R, from the ecological source j to the spatial cell i i Representing the drag coefficient of cell i.
4. The MSPA and circuit theory based urban ecological corridor space planning method according to claim 1, wherein in the step 4, ecological source data and resistive surface data are input into a central Mapper tool, click operation is performed, current density between ecological sources in the urban ecological corridor is identified, and a preliminary Centrality classification map is generated; and re-grading the central grading graph according to centrality by a GIS re-grading tool.
5. The method for urban ecological corridor spatial delineation based on MSPA and circuit theory according to claim 1, wherein the indicators in the suitability index system within the urban ecological corridor range include species migration longest distance, species migration suitability width, high mobility potential area and high development potential area, and the weighted distance calculation, buffer zone setting, potential corridor current density grading and potential corridor construction cost evaluation are respectively performed for the species migration longest distance, species migration suitability width, high mobility potential area and high development potential area.
6. The urban ecological corridor spatial delineation method based on the MSPA and the circuit theory as claimed in claim 5, wherein when calculating the weighted distance of the longest distance of species migration, the minimum cost path length of the mapping link between each pair of ecological sources is limited to the maximum cost weighted distance value based on a Linkage Mapper tool, and the input source and resistance surface data is used to operate the Linkage Mapper tool to extract the connecting region within the threshold range; and constructing a suitability factor assignment table, and using a re-classification tool of the GIS to re-assign the connection areas with different maximum cost weighted distance thresholds.
7. The method for spatially defining urban ecological galleries based on MSPA and circuit theory according to claim 5, wherein when a buffer is set for species migration suitability width, a migration suitability width value of each species is determined, and a GIS tool is used for performing buffer analysis of different species suitability width values on the minimum path; and constructing a suitability factor value assignment table, and reassigning buffer areas with different width values by using a GIS re-classification tool.
8. The method for defining the urban ecological corridor space based on the MSPA and the circuit theory as claimed in claim 5, wherein when the potential corridor current density classification is performed on the high-fluidity potential area, based on the circuit theory, the source and resistance surface data are input to a Pinchpoint Mapper tool, the cost weighted distance is set as a threshold value, the Pinchpoint Mapper tool is operated, and the high-current density area in the ecological corridor is identified; and constructing a suitability factor assignment table, and reassigning the regions with different current density levels by using a re-classification tool of the GIS.
9. The method for defining the urban ecological corridor space based on the MSPA and the circuit theory as claimed in claim 5, wherein when the potential corridor construction cost evaluation is performed on the potential corridor construction area with high development performance, the potential corridor construction cost is evaluated according to different land utilization types in the city, and the construction suitability of the potential corridor is lower as the construction cost is higher; and constructing a suitability factor assignment table, and using a GIS re-classification tool to re-assign values to different land use type units.
10. The method for defining the urban ecological corridor space based on MSPA and circuit theory according to any one of claims 5-9, wherein the grid calculator tool of GIS tool is used to perform superposition analysis on the indexes in the suitability index system within the urban ecological corridor range, including the longest species migration distance, the species migration suitability width, the high-mobility potential area and the high-development potential area, the GIS re-classification tool is used to screen and identify the suitability construction area of the ecological corridor, and then the determined ecological corridor space range is divided into different priority areas according to importance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210550182.4A CN115063276A (en) | 2022-05-20 | 2022-05-20 | Urban ecological corridor space dividing method based on MSPA and circuit theory |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210550182.4A CN115063276A (en) | 2022-05-20 | 2022-05-20 | Urban ecological corridor space dividing method based on MSPA and circuit theory |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115063276A true CN115063276A (en) | 2022-09-16 |
Family
ID=83197958
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210550182.4A Pending CN115063276A (en) | 2022-05-20 | 2022-05-20 | Urban ecological corridor space dividing method based on MSPA and circuit theory |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115063276A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115907096A (en) * | 2022-10-31 | 2023-04-04 | 四川师范大学 | Corridor planning method in rural-level homeland space planning |
| CN116307400A (en) * | 2023-04-03 | 2023-06-23 | 吉林省林业科学研究院 | Method and device for identifying habitat corridor, electronic equipment and medium |
| CN116362939A (en) * | 2023-02-17 | 2023-06-30 | 深圳大学 | Method, system and related equipment for acquiring ecological network fracture influence index |
-
2022
- 2022-05-20 CN CN202210550182.4A patent/CN115063276A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115907096A (en) * | 2022-10-31 | 2023-04-04 | 四川师范大学 | Corridor planning method in rural-level homeland space planning |
| CN116362939A (en) * | 2023-02-17 | 2023-06-30 | 深圳大学 | Method, system and related equipment for acquiring ecological network fracture influence index |
| CN116362939B (en) * | 2023-02-17 | 2024-03-22 | 深圳大学 | Method, system and related equipment for acquiring ecological network fracture influence index |
| CN116307400A (en) * | 2023-04-03 | 2023-06-23 | 吉林省林业科学研究院 | Method and device for identifying habitat corridor, electronic equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zheng et al. | GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong | |
| CN115063276A (en) | Urban ecological corridor space dividing method based on MSPA and circuit theory | |
| Theobald et al. | A framework for evaluating land use planning alternatives: protecting biodiversity on private land | |
| CN110472882A (en) | City development land suitability evaluation method based on principal component analysis | |
| CN109102193A (en) | Geography designs ecological red line and delimit and management system and database, evaluation model | |
| Wang et al. | A systematic method to develop three dimensional geometry models of buildings for urban building energy modeling | |
| CN113505510B (en) | Ecological safety pattern recognition method fusing landscape index and random walk model | |
| CN108764812A (en) | A kind of digitalized design method of UHV transmission line | |
| CN112184282A (en) | Cinema site selection model establishing method, cinema site selection method and cinema site selection platform | |
| Zhang et al. | Identification and extraction of a current urban ecological network in Minhang District of Shanghai based on an optimization method | |
| Briceño-Garmendia et al. | Road networks, accessibility, and resilience: The cases of Colombia, Ecuador, and Peru | |
| Siddayao et al. | Modeling flood risk for an urban CBD using AHP and GIS | |
| CN113239316A (en) | City business facility layout rationality evaluation method and system considering crowd consumption characteristics | |
| Rad et al. | Integrated analytical hierarchy process (AHP) and GIS for land use suitability analysis | |
| Jing et al. | Optimization of landscape pattern in the main river basin of Liao River in China based on ecological network | |
| Luo et al. | Construct the future wetland ecological security pattern with multi-scenario simulation | |
| Hong et al. | Predicting the minimum scale of urban ecological space based on socio-ecological systems analysis | |
| Li et al. | Effectiveness of travel behavior and infrastructure change to mitigate heat exposure | |
| Xie et al. | The accessibility of Nanjing urban park based on GIS | |
| CN115759883A (en) | Ecological management partitioning method based on network group characteristics | |
| CN113487341B (en) | Urban business strategy data processing method | |
| CN115577825A (en) | Method for determining width of urban ecological corridor depending on river and road | |
| CN113554221B (en) | Method for simulating and predicting town development boundary under view angle of' flow space | |
| Fareh et al. | The effect of spatial configuration on the movement distribution behavior: the case study of Constantine Old Town (Algeria) | |
| CN115564087A (en) | Method, system, device and storage medium for identifying and optimizing regional ecological network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |