Construction of an Ecological Security Pattern in an Urban–Lake Symbiosis Area: A Case Study of Hefei Metropolitan Area
Abstract
:1. Introduction
2. Study Area and Data
2.1. Study Area
2.2. Materials
3. Methods
3.1. Identification of Ecological Sources
3.1.1. The Importance of Ecosystem Services
3.1.2. Ecological Sensitivity
3.1.3. Landscape Connectivity
3.2. Minimum Cumulative Resistance Surface Construction
3.3. Ecological Security Pattern Construction
- (1)
- Ecological source. The source area is the core area of ecological protection. This study extracts the ecologically important and extremely important ecological land in the study area and removes the small patches that have little impact on the ecosystem service function to obtain the ecological source area of the study area.
- (2)
- Buffer zone. Based on the minimum cumulative resistance model, the minimum cumulative resistance of the ecological source and urban land is calculated and normalized, and then the difference between the two is calculated, and the area outside the ecological source is partitioned through the mutation detection method [37]. The buffer zone is an area with low cumulative resistance around the ecological source area. It is used to protect the ecological process and natural succession of the core area, reduce the impact of human disturbance of the external landscape, and propose corresponding planning strategies for the ecological buffer zone.
- (3)
- Ecological corridor. The potential ecological corridor is the lowest cumulative resistance valley line between ecological sources. Based on the ecological source and the landscape resistance surface, the Linkage Mapper tool can be used to calculate the minimum cumulative cost distance path, thereby determining the spatial location of the ecological corridor and identifying important corridors.
4. Results
4.1. Results of Ecological Land Identification
- (1)
- The importance of ecosystem services
- (2)
- Ecological sensitivity
- (3)
- Landscape connectivity
4.2. Construction of Ecological Security Pattern
4.2.1. Ecological Source
4.2.2. Ecological Buffer Zone
4.2.3. Ecological Corridor
4.2.4. Ecological Security Pattern
5. Discussion
5.1. Conflict Land for Ecological Protection and Urban Expansion
5.2. Research Deficiency and Prospects
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Data Name | Resolution | Format | Data Description |
---|---|---|---|
Land use | 30 m | Grid | Generated by human visual interpretation based on the Landsat 8 remote sensing image, used to calculate habitat quality |
Annual average precipitation | 30 m | Grid | Obtained by calculating multi-year average after interpolation of data from national meteorological station, used to calculate rainfall erosivity factor and water conservation capacity |
Soil | 1000 m | Grid | Obtained based on the soil-type map (1:1,000,000) and the data of the second soil survey, used to calculate the soil erodibility factor |
DEM | 30 m | Grid | Obtained from the STRM DEM data products, from which the LS factors are calculated |
NDVI | 1000 m | Grid | Generated by maximum value synthesis method based on the SPOT/VEGETATION NDVI satellite remote sensing data of continuous time series |
Actual evapotranspiration | 30 m | Grid | Cut according to the mask of the study area based on the actual land evapotranspiration data of the whole country, the 30 m precision data of the study area are obtained by using Kriging interpolation |
National terrestrial ecosystem classification | — | Vector | Used to calculate water conservation capacity |
Basic geographic data | — | Vector | Include the distribution data of administrative divisions, road traffic, river systems, etc. |
Ecosystem Services | Principles and Methods | Calculation Process | |
---|---|---|---|
Water conservation | Model of water conservation [24] | (1) | |
In this formula, TQ represents the total water conservation (m3), PI represents rainfall (mm), Ri represents surface runoff, ETi represents evapotranspiration (mm), Ai represents the area of type i ecosystem (km2), i represents the i-th type of ecosystem type in the study area, and j represents the number of ecosystems in the study area. | |||
Soil and water conservation | Model of Soil and water conservation [25] | The soil and water conservation service model is modified by the revised universal soil loss equation (RUSLE) to carry out the evaluation, the formula is as follows: | |
(2) | |||
In this formula, Ac represents the amount of soil and water conservation [t/(hm2·a)], Ap represents the potential soil erosion amount, Ar represents the actual soil erosion amount, R represents the rainfall erosivity factor [MJ·mm/(hm2·h·a)], K represents the soil erodibility factor [t·hm2·h/(MJ·hm2·mm)], LS represents the slope length and slope factor (dimensionless), and C represents the vegetation cover and crop management factor (dimensionless). | |||
Carbon fixation | Carbon module of invest model, specific parameter settings are quoted from related research [26] | (3) | |
In this formula, C represents the total carbon sequestration, Cabove represents the aboveground carbon sequestration, Csoil represents the soil carbon sequestration, Cdead represents the dead carbon sequestration, and Cbelow represents the belowground carbon sequestration. | |||
Habitat quality | Habitat Quality module of InVEST model, specific parameter settings are quoted from related research [27] | (4) | |
In this formula, Qxj represents the habitat quality index of the grid x of the habitat type j, Hj represents the habitat suitability of the habitat type j, Dxj represents the habitat stress level of the grid x of the habitat type j, and K represents the half-saturation constant. |
Evaluation Factor/Unit | Sensitivity Assignment | Weights | ||||
---|---|---|---|---|---|---|
9 | 7 | 5 | 3 | 1 | ||
NDVI | >0.75 | (0.65, 0.75] | (0.65, 0.75] | (0.35, 0.50] | ≤0.35 | 0.20 |
Elevation (m) | ≥500 | (500, 800] | (800, 1100] | (1100, 1400] | >1400 | 0.15 |
Slope | ≤5 | (5, 10] | (10, 15] | (15, 25] | >25 | 0.15 |
Land use type | Forest land or Waters | Grass land | Cropland | Construction land | Bare land | 0.20 |
the Soil Erosion Intensity | Extremely strong erosion | Strong erosion | Moderate erosion | Mild erosion | Slight erosion | 0.30 |
Land Use | Area/km2 | Area of Corridor/km2 | Percentage of Corridor Area/km2 |
---|---|---|---|
Agriculture | 39,125.13 | 1737.06 | 70.06 |
Woodland | 8405.31 | 204.17 | 8.24 |
Grassland | 4011.14 | 92.95 | 3.74 |
Waterbody | 4406.64 | 248.39 | 10.02 |
Construction | 7469.50 | 196.40 | 7.94 |
Bare land | 11.38 | 0.08 | — |
Total | 63,429.12 | 2479.06 | 100% |
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Fan, X.; Rong, Y.; Tian, C.; Ou, S.; Li, J.; Shi, H.; Qin, Y.; He, J.; Huang, C. Construction of an Ecological Security Pattern in an Urban–Lake Symbiosis Area: A Case Study of Hefei Metropolitan Area. Remote Sens. 2022, 14, 2498. https://doi.org/10.3390/rs14102498
Fan X, Rong Y, Tian C, Ou S, Li J, Shi H, Qin Y, He J, Huang C. Construction of an Ecological Security Pattern in an Urban–Lake Symbiosis Area: A Case Study of Hefei Metropolitan Area. Remote Sensing. 2022; 14(10):2498. https://doi.org/10.3390/rs14102498
Chicago/Turabian StyleFan, Xin, Yuejing Rong, Chongxin Tian, Shengya Ou, Jiangfeng Li, Hong Shi, Yi Qin, Jiawen He, and Chunbo Huang. 2022. "Construction of an Ecological Security Pattern in an Urban–Lake Symbiosis Area: A Case Study of Hefei Metropolitan Area" Remote Sensing 14, no. 10: 2498. https://doi.org/10.3390/rs14102498
APA StyleFan, X., Rong, Y., Tian, C., Ou, S., Li, J., Shi, H., Qin, Y., He, J., & Huang, C. (2022). Construction of an Ecological Security Pattern in an Urban–Lake Symbiosis Area: A Case Study of Hefei Metropolitan Area. Remote Sensing, 14(10), 2498. https://doi.org/10.3390/rs14102498