LU500215B1 - Method of identifying ecological corridor spatial range for ecosystem protection planning and implementation - Google Patents
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Abstract
The invention relates to a method of identifying ecological corridor spatial range for ecosystem protection planning and implementation, which integrates ecological functional importance evaluation with ecological corridor spatial heterogeneity analysis, and belongs to the field of ecosystem management and territorial spatial planning. The method of identifying ecological corridor spatial range provided by the invention comprises the following steps: firstly, determining the spatial range of ecological sources by ecological functional importance evaluation; then, calculating ecological resistance values by combining a land use type with a nighttime light index; and finally, based on the circuit theory, determining a spatial range of an ecological corridor according to different thresholds of cumulative resistance and the change trends of relevant indexes that reflect landscape heterogeneity. The method solves the problem of identifying ecological corridor spatial range, supports for implementation protection and construction of the ecological corridor, and improves accuracy and rationality of ecosystem management.
Description
DESCRIPTION Method of identifying ecological corridor spatial range for ecosystem protection planning and implementation
TECHNICAL FIELD The invention relates to a method of identifying ecological corridor spatial range for ecosystem protection planning and implementation, which integrates ecological functional importance evaluation with ecological corridor spatial heterogeneity analysis, and belongs to the field of ecosystem management and territorial spatial planning.
BACKGROUND The ecosystem management is a response to global environmental conservation and resource crisis, and is also an integral way for natural resource management. The ecological network is an important carrier for guaranteeing integrity and communication of the ecosystem, and is one of important goals of ecosystem management for ensuring the safety and the functional effectiveness of the regional ecosystem. Since the second half of the 20th century, the urbanization process causes regional landscape fragmentation, habitat loss and damages to \ecosystem functions along with the artificial surface expansion. The ecological network is an effective means for maintaining the ecosystem process continuity, strengthening the function of the ecosystem, supporting human well-being and promoting regional sustainable development.
The construction of ecosystem networks (ENs) has formed the basic research paradigms, including determining ecological sources, establishing ecologically resistant surfaces and identifying ecological corridors. Various technologies in the above process have been continuously developed. Patches with the highest ecological importance were identified as ecological sources. Ecological importance was generally evaluated by calculating the level of different ecosystem service provision. In addition, ecological indicators, such as environmental suitability, landscape connectivity and ecological sensitivity, were often employed for the ecological importance evaluation. To construct a resistant surface, the resistant surface type was first assigned based on its land use type, and then the relevant indicators were determined according to the characteristics of the study area, such as nighttime light intensity and impervious surface area. Then the resistance surface was revised to reflect the landscape heterogeneity in the study area objectively. The minimum cumulative resistance model is a traditional method for identifying ecological corridors. It can identify the optimal direction and route of biological flows. But it cannot clarify the spatial range and key nodes of an ecological corridor. Through the study of biological flows compensated for this defect, the application of circuit theory originated from physics can simulate the directions of biological flows through the random walk of electric currents, identify the key positions according to the current intensity, and determine the width thresholds of ecological corridors based on the frequency distribution of the current values.
However, the implementation of ecological networks is a bottleneck in the field. On one hand, most of researchers only determined the trend of the ecological corridor which was lack of the specific spatial range, causing the problem of the ineffective protection and construction of ecological corridors and difficulty of planning implementation. On the other hand, the ecological network constructed by the conventional study was generally composed of a large-area ecological source and a very long ecological corridor, causing great cost on the ecosystem protection scheme and affecting feasibility of the implementation plan. Generally, the current mainstream method of identifying ecological networks cannot determine the spatial range of the ecological corridor, causing the bottleneck for the ecological network protection and implementation of sustainable ecosystem management and territorial spatial planning.
SUMMARY To solve the problem, the invention provides a method of identifying ecological corridor spatial range for ecosystem protection planning and implementation. The method includes the steps of determining ecological sources based on ecological functional importance analysis, calculating ecological resistance values by combining a land use type with a nighttime light index, and determining a spatial range of an ecological corridor by utilizing the circuit theory, and identifying a spatial range of an ecological network by identifying the spatial range of the ecological sources.
The technical problems of the invention are mainly solved by the following technical problem: Step 1. Identifying spatial range of ecological sources. Ecological sources were identified by assessing the ecological functional importance (EFI). For the EFI assessment, the higher the EFI is, the stronger the ecological function of the patches, and the more important the patches are to the ecosystem. Important patches in ecosystems require sufficient habitat quality to maintain biodiversity, and can provide ecosystem services that are lacking in metropolitan regions.
EFT, = HQ, + NPP + PM, re, Formula I where EFT; represents the EFI of patch 1, HQ; represents the habitat quality of patch i, NPP; represents the carbon fixation and oxygen release capacity of land patch 1, and PM, srei represents the PM; s removal capacity.
0. _up-e 55 Formula II To Dyk where Qj is the habitat quality index of grid X in category j, H; is the habitat suitability of grid X in category J, Dy is the habitat degradation degree of grid X in category j, K is the semi-saturation constant, that is, half of the maximum degradation degree, and Z 1s the default parameter of the model.
NP = APR € - a. és ae + | x 05% mx X T(X,0) x W(X, 1) (NM ax 7 NM ig) Formula III where APAR represents the effective photosynthetic radiation that can be absorbed by vegetation, and SOL is the total solar radiation, NDVI is the normalized vegetation index, FPAR is the proportion of the effective photosynthetic radiation that can be absorbed by vegetation, Max is the maximum photosynthetic radiation utilization rate, T (x, t) is the temperature stress factor, W (x, t) is the water stress factor. 1=FxAxTx(1-R) F =V, xCx3600 Formula IV where I is PM2.5 removal, A is leaf surface area, T is evaluation period, R is PM2.5 resuspension rate, F is PM2.5 removal flux, Va is deposition rate, C is PM2.5 concentration. Va and R are derived from wind speed.
Step 2. Calculating ecological resistant surfaces. The ecological resistant surface represents the cost of landscape media to overcome interpatch flow resistances, reflects the horizontal resistances of ecological processes, and characterizes the influence of landscape heterogeneity on the ecological flow. The resistance values of different land use types are set as Table 1. The resistance value is a relative value not an absolute value, the minimum value 1 means that species migration is freely without hindrance, and the maximum value 100 means that species migration is almost impossible.
Table 1. Ecological resistance value of different land use types Land use types ; a Rural Urban Forest Wetland Grassland Water Cultivated Unutilized construction construction land bodies land land land land Ecological resistance value 1 1 10 15 20 50 70 100 for ecosystem In addition, the degree of human disturbance was an important factor that affected ecological diffusion; therefore, the nighttime light index was introduced to modify the resistance value.
‚ILL, R= —— xR Formula V 111, In the formula, R'; is the revised resistance value of grid 1, TLI; refers to the light index of grid i, TLI, refers to the average light index of landscape type a corresponding to grid 1 in the city, and R is the basic resistance value.
Step 3. Identifying spatial range of ecological corridors. Circuit theory is an approach proposed by McRae to study dynamic logistical trends and quantify the degree of habitat connectivity based on the physical circuit principle. In physics, according to Ohm's law, the current through a conductor between two points is proportional to the voltage between the two points.
V I =— Formula VI Re where I is the current passing through the conductor; V is the voltage measured across the conductor; and Rerr is the effective resistance of the conductor (or conductors). When a shunt has multiple branches and each branch has constant resistance, Rerr decreases as the number of branches increases. In ecology, Rerr reflects spatial isolation between nodes. Similarly, I reflects the ecological flow that can be used in predicting the possibility of gene flow or species movement. The corridor had an edge effect in which their ecological function was closely related to their spatial range. Based on circuit theory, this method identified ecological corridor spatial ranges according to different thresholds of cumulative resistance and the change trends of relevant indexes that reflected landscape heterogeneity.
Therefore, the ecological corridor spatial range identifying method has the following advantages that: firstly, the spatial range of ecological sources is determined by ecological functional importance evaluation; then, ecological resistance values are calculated by combining a land use type with a nighttime light index; and finally, based on the circuit theory, a spatial range of an ecological corridor is determined according to different thresholds of cumulative resistance and the change trends of relevant indexes that reflect landscape heterogeneity. The ecological corridor spatial range identifying method solves the ecological corridor spatial range identifying problem, implements protection and construction of the ecological corridor, and improves accuracy and rationality of ecosystem management.
BRIEF DESCRIPTION OF THE FIGURES Fig. 1 is a model flow chart of the invention.
Fig. 2 is a spatial range diagram of the ecological sources in Example 1.
Fig. 3 is an ecological resistance surface diagram in Example 1.
Fig. 4 shows a spatial range of the ecological corridor under different thresholds of cumulative resistance in Example 1.
Fig. 5 is a diagram showing the change trend of the spatial range of the ecological corridor under different thresholds of cumulative resistance in Example 1.
Fig. 6 is a diagram showing the spatial range of the ecological network in Example
1.
DESCRIPTION OF THE INVENTION The technical scheme of the examples of the invention will be further described in detail in combination with accompanying drawings and specific examples.
Example 1: The flow chart of the model adopted by the invention is as shown in Fig. 1.
An ecological network spatial range identifying method includes the following steps: step 1, carrying out regional ecological network importance evaluation. The important ecological resources are determined by classical ecosystem services such as habitat quality evaluation in the region, carbon fixation and oxygen release as well as PM2.5 removal.
step 2, constructing ecological resistant surfaces. The ecological resistant surfaces are constructed by setting basic resistance values of different land use types and combining nighttime light data to correct.
And step 3, identifying the spatial range under different thresholds of cumulative resistance of the ecological corridor based on the circuit theory, analyzing the change trend of the spatial range to determine the spatial range of the ecological corridor.
The following is a specific example adopting the method.
Firstly, evaluation on classical ecosystem services such as habitat quality study in the region, carbon fixation and oxygen release as well as PM2.5 removal is carried out by virtue of an ArcGIS10.4 spatial analysis function based on data such as a land use type, a vegetation index, a temperature, rainfall, wind velocity and PM2.5 concentration; differential standardized processing is performed on various evaluated results by ArcGIS10.4, and regional EFI values are calculated according to a formula I. The regional EFI values are classified according to a natural breakpoint method, and the regions with the front two kinds of EFI values are determined as the ecological sources as shown in Fig. 3.
Secondly, the basic ecological resistance surfaces are made by the land use types, the nighttime light data are combined, and the basic ecological resistance surfaces are corrected to construct the regional ecological resistance surfaces as shown in Fig. 4 by utilizing an ArcGIS10.4 spatial statistics function and a field calculator field.
And thirdly, based on the circuit theory, the spatial range of the ecological corridor under 2000-20000 cumulative resistance thresholds is identified and shown in Fig. 5; the area change trend of the ecological corridor is analyzed and shown in Fig. 6, and the spatial range of the ecological corridor under the 1000 cumulative resistance threshold is determined as the final spatial range of the ecological corridor; and the spatial range of the regional ecological network is identified by combining the spatial range of the ecological resources and is shown in Fig. 7.
The specific examples described herein are merely illustrative of the spirit of the invention. A person skilled in the art to which the invention pertains can make various modifications or additions to the described specific examples or substitute in a similar manner, but does not deviate from the spirit of the invention or go beyond the scope defined by the appended claims.
Claims (1)
1. A method of identifying ecological corridor spatial range for ecosystem protection planning and implementation, it is characterized in that, comprises the following steps: step 1: identifying spatial range of ecological sources, ecological sources were identified by assessing the ecological functional importance (EFI), for the EFI assessment, the higher the EFI is, the stronger the ecological function of the patches, and the more important the patches are to the ecosystem, important patches in ecosystems require sufficient habitat quality to maintain biodiversity, and can provide ecosystem services that are lacking in metropolitan regions; NP = APR € - a. és ae + | x 05% mx X T(X,0) x W(X, 1) (NM ax a NM; rn) where APAR represents the effective photosynthetic radiation that can be absorbed by vegetation, and SOL is the total solar radiation, NDVI is the normalized vegetation index, FPAR is the proportion of the effective photosynthetic radiation that can be absorbed by vegetation, max is the maximum photosynthetic radiation utilization rate, T x, 0 1s the temperature stress factor, W (x ¢ 1s the water stress factor; EFT, = HQ, + NPP + PM, re, formula I where EF represents the EFI of patch 7, HQ; represents the habitat quality of patch i, NPP; represents the carbon fixation and oxygen release capacity of land patch 7, and PM; sre; represents the PM; 5s removal capacity;
0. _up-e 55 formula IT To Dyk where Q, is the habitat quality index of grid X in category j, H is the habitat suitability of grid X in category ], D, is the habitat degradation degree of grid X in category j, K is the semi-saturation constant, that is, half of the maximum degradation degree, and Z 1s the default parameter of the model;
NP = APR € - a. és ae + | x 05% mx X T(X,0) x W(X, 1) (NM ax — NM min) formula III where APAR represents the effective photosynthetic radiation that can be absorbed by vegetation, and SOL is the total solar radiation, NDVI is the normalized vegetation index, FPAR is the proportion of the effective photosynthetic radiation that can be absorbed by vegetation, max is the maximum photosynthetic radiation utilization rate, T « 0 1s the temperature stress factor, W (x ¢ 1s the water stress factor; 1=FxAxTx(1-R) F =, xCx3600 formula IV where / is PM2.5 removal, À is leaf surface area, 7'is evaluation period, R is PM2.5 resuspension rate, F is PM2.5 removal flux, Va is deposition rate, C is PM2.5 concentration; Va and R are derived from wind speed; step 2: calculating ecological resistant surfaces, the ecological resistant surface represents the cost of landscape media to overcome inter-patch flow resistances, reflects the horizontal resistances of ecological processes, and characterizes the influence of landscape heterogeneity on the ecological flow, the resistance values of different land use types are different, the resistance value is a relative value not an absolute value, the minimum value 1 means that species migration is freely without hindrance, and the maximum value 100 means that species migration is almost impossible; in addition, the degree of human disturbance was an important factor that affected ecological diffusion, therefore, the nighttime light index was introduced to modify the resistance value:
R “i formula V in the formula, Riis the revised resistance value of grid i, 7LZ; refers to the light index of grid i, TLI, refers to the average light index of landscape type a corresponding to grid 7 in the city, and R is the basic resistance value;
step 3: identifying spatial range of ecological corridors, circuit theory is an approach proposed by McRae to study dynamic logistical trends and quantify the degree of habitat connectivity based on the physical circuit principle, in physics, according to Ohm's law, the current through a conductor between two points is proportional to the voltage between the two points:
I= formula VI eff where / is the current passing through the conductor, V is the voltage measured across the conductor, and Regis the effective resistance of the conductor (or conductors), when a shunt has multiple branches and each branch has constant resistance, Rey decreases as the number of branches increases, in ecology, Rey reflects spatial isolation between nodes, similarly, / reflects the ecological flow that can be used in predicting the possibility of gene flow or species movement, the corridor had an edge effect in which their ecological function was closely related to their spatial range, based on circuit theory, this method identified ecological corridor spatial ranges according to different thresholds of cumulative resistance and the change trends of relevant indexes that reflected landscape heterogeneity.
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| CN115827938A (en) * | 2023-02-20 | 2023-03-21 | 四川省煤田测绘工程院 | Method for acquiring homeland space planning data, electronic device and computer readable medium |
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| CN115827938A (en) * | 2023-02-20 | 2023-03-21 | 四川省煤田测绘工程院 | Method for acquiring homeland space planning data, electronic device and computer readable medium |
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