Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns
<p>Location of the study area in China. (<b>a</b>) Map of China. (<b>b</b>) Map of Henan Province. (<b>c</b>) Map of Song County. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 2
<p>A schematic flow chart of dynamic evaluation of ecological security. This figure was created using Visio (<a href="https://www.microsoft.com/" target="_blank">https://www.microsoft.com/</a>, accessed on 1 January 2019.).</p> "> Figure 3
<p>Evaluation index of ecological security evaluation in 2020. (<b>a</b>) Geological disaster susceptibility. (<b>b</b>) Population density. (<b>c</b>) Landscape fragmentation index. (<b>d</b>) Biological abundance index. (<b>e</b>) Water conservation index. (<b>f</b>) Vegetation coverage index. (<b>g</b>) Landscape disturbance index. (<b>h</b>) Landscape restoration index. (<b>i</b>) GDP density. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 3 Cont.
<p>Evaluation index of ecological security evaluation in 2020. (<b>a</b>) Geological disaster susceptibility. (<b>b</b>) Population density. (<b>c</b>) Landscape fragmentation index. (<b>d</b>) Biological abundance index. (<b>e</b>) Water conservation index. (<b>f</b>) Vegetation coverage index. (<b>g</b>) Landscape disturbance index. (<b>h</b>) Landscape restoration index. (<b>i</b>) GDP density. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 3 Cont.
<p>Evaluation index of ecological security evaluation in 2020. (<b>a</b>) Geological disaster susceptibility. (<b>b</b>) Population density. (<b>c</b>) Landscape fragmentation index. (<b>d</b>) Biological abundance index. (<b>e</b>) Water conservation index. (<b>f</b>) Vegetation coverage index. (<b>g</b>) Landscape disturbance index. (<b>h</b>) Landscape restoration index. (<b>i</b>) GDP density. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 4
<p>Evaluation indicators of geological disaster susceptibility in 2020. (<b>a</b>) Elevation. (<b>b</b>) Slope. (<b>c</b>) Aspect. (<b>d</b>) Relief of topography. (<b>e</b>) Engineering rock formation. (<b>f</b>) Distance from structure. (<b>g</b>) Landcover. (<b>h</b>)NDVI. (<b>i</b>)NDWI. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 4 Cont.
<p>Evaluation indicators of geological disaster susceptibility in 2020. (<b>a</b>) Elevation. (<b>b</b>) Slope. (<b>c</b>) Aspect. (<b>d</b>) Relief of topography. (<b>e</b>) Engineering rock formation. (<b>f</b>) Distance from structure. (<b>g</b>) Landcover. (<b>h</b>)NDVI. (<b>i</b>)NDWI. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 4 Cont.
<p>Evaluation indicators of geological disaster susceptibility in 2020. (<b>a</b>) Elevation. (<b>b</b>) Slope. (<b>c</b>) Aspect. (<b>d</b>) Relief of topography. (<b>e</b>) Engineering rock formation. (<b>f</b>) Distance from structure. (<b>g</b>) Landcover. (<b>h</b>)NDVI. (<b>i</b>)NDWI. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 5
<p>Classification results of landcover. (<b>a</b>) Landcover in 2005. (<b>b</b>) Landcover in 2010. (<b>c</b>) Landcover in 2015. (<b>d</b>) Landcover in 2020. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 6
<p>Change in patch type level index. (<b>a</b>) Number of patches (NP). (<b>b</b>) Edge density (ED). (<b>c</b>) Landscape type proportion (PLAND). (<b>d</b>) Maximum patch index (LPI).</p> "> Figure 6 Cont.
<p>Change in patch type level index. (<b>a</b>) Number of patches (NP). (<b>b</b>) Edge density (ED). (<b>c</b>) Landscape type proportion (PLAND). (<b>d</b>) Maximum patch index (LPI).</p> "> Figure 7
<p>Evaluation level of ecological security. (<b>a</b>) Ecological security level in 2005. (<b>b</b>) Ecological security level in 2010. (<b>c</b>) Ecological security level in 2015. (<b>d</b>) Ecological security level in 2020. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 8
<p>Moran’s I statistics of ecological security level in 2005, 2010, 2015, and 2020.</p> "> Figure 9
<p>LISA result of spatial autocorrelation. (<b>a</b>) 2005. (<b>b</b>) 2010. (<b>c</b>) 2015. (<b>d</b>) 2020. The figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> "> Figure 10
<p>Distribution map of cold/hotspots. (<b>a</b>) 2005. (<b>b</b>) 2010. (<b>c</b>) 2015. (<b>d</b>) 2020. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 Jun1 2021).</p> "> Figure 11
<p>Changing trend of ecological security. (<b>a</b>) Change slope. (<b>b</b>) Results of F significance test. This figure was created using ArcGIS ver. 10.4 (<a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 1 June 2021).</p> ">
Abstract
:1. Introduction
2. Study Area
3. Data and Methods
3.1. Data Sources
3.2. Selection of Landscape Pattern Index
3.3. Selection and Extraction of Evaluation Factors
3.4. Methods
3.4.1. Decision Tree Model
3.4.2. CRITIC Weighting Method
3.4.3. Exploratory Spatial Data Analysis (ESDA)
3.4.4. Change Slope Method
3.4.5. Hurst Index
4. Results
4.1. Landscape Pattern Analysis
4.1.1. Landscape Patch Type Level
4.1.2. Landscape Level
4.2. Dynamic Evaluation of Ecological Security
4.2.1. Weights of Evaluation Indicators
4.2.2. Determination of Ecological Security Grade
4.3. Spatiotemporal Differentiation Analysis
4.3.1. Global Moran’s I
4.3.2. Anselin Local Moran’s I
4.3.3. Getis–Ord Gi* Analysis
4.3.4. Change Slope
4.3.5. Hurst Index
5. Discussion
5.1. Analysis of the Causes of Landscape Pattern Change
5.2. Analysis of the Causes of Ecological Security Changes
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Data | Year | Format | Access Platform |
---|---|---|---|
Landsat8 OLI | 2015, 2020 | TIF | Geospatial Data Cloud |
Landsat5 TM | 2005, 2010 | TIF | Geospatial Data Cloud |
DEM | 2009 | TIF | Geospatial Data Cloud |
Boundary data | 2020 | SHP | Vectorize |
Landcover data | 2019 | SHP | The third national land resource survey |
Interpolation data | 2005, 2010, 2015, 2020 | TIF | Resource and Environment Science and Data Center |
Geologic map | 2020 | SHP | National Geological Archives |
Index | Indication | |
---|---|---|
Type level | NP | This value is positively correlated with landscape fragmentation. |
ED | It has high sensitivity to landscape type changes. | |
PLAND | Part of the basis for determining the matrix or leading landscape elements in the landscape, and also is an important factor in determining ecosystem indicators such as biological diversity and the prevailing species in the landscape. | |
LPI | This value helps to reflect some ecological characteristics in the landscape, such as the dominant types and the abundance of internal species. In addition, it affects material migration in the ecosystem and the orientation and strength of people’s activities. | |
Landscape pattern | PD | Can be used to make comparisons between different landscapes. |
CONTAG | Represents the extent of aggregation or expansion trend of various patch types in the landscape. | |
LSI | Reflects the complexity and irregularity of the overall landscape shape. | |
IJL | Indicates the overall spread and juxtaposition of patch types at the landscape level, which suggests that the spread characteristics of ecosystems are severely constrained by some natural factors. | |
SHDI | Reflects the heterogeneity of the landscape and is especially flexible to the unbalanced spread of each patch type in the landscape. | |
SHEI | Used to compare changes in diversity across landscapes or in the same landscape over time. |
Criterion Layer | Factor Layer | Unit | Factor Type |
---|---|---|---|
Pressure | Geological disaster susceptibility | / | Negative |
Population density | Persons/km2 | Negative, | |
Landscape fragmentation index | / | Negative | |
State | Biological abundance index | / | Positive |
Water conservation index | / | Positive | |
Vegetation coverage | % | Positive | |
Response | Landscape disturbance index | / | Negative |
Landscape restoration index | / | Positive | |
GDP density | Wanyuan/km2 | Negative |
Criterion Layer | Factor Layer | Indicator Layer | Unit | Data Source |
---|---|---|---|---|
Geological disaster susceptibility | Static factor | Elevation | m | DEM |
Slope | ° | DEM | ||
Aspect | ° | DEM | ||
Relief of topography | m | DEM | ||
Engineering rock formation | / | Geologic map | ||
Distance from structure | m | Geologic map | ||
Dynamic factor | Landcover | / | Landsat images | |
Normalized vegetation index | % | Landsat images | ||
Normalized water index | % | Landsat images |
Landscape Type | Time | PLAND | NP | LPI | ED |
---|---|---|---|---|---|
Grassland | 2005 | 11.6636 | 1468 | 1.2334 | 21.1442 |
2010 | 9.7509 | 1396 | 1.1609 | 19.2182 | |
2015 | 7.0081 | 1290 | 0.1971 | 15.1222 | |
2020 | 6.0078 | 1145 | 0.1971 | 12.9057 | |
Forest | 2005 | 66.4430 | 862 | 41.3001 | 35.5414 |
2010 | 65.5214 | 879 | 40.7530 | 37.0594 | |
2015 | 64.9011 | 925 | 40.5104 | 37.2659 | |
2020 | 64.6362 | 1030 | 39.7640 | 37.4359 | |
Construction | 2005 | 2.8488 | 836 | 0.2212 | 6.7390 |
2010 | 4.1679 | 1125 | 0.2403 | 9.6562 | |
2015 | 4.9333 | 1375 | 0.2583 | 11.4446 | |
2020 | 5.8623 | 1479 | 0.5262 | 12.9336 | |
Farmland | 2005 | 13.1847 | 1494 | 1.3743 | 21.8278 |
2010 | 15.0074 | 1660 | 1.3815 | 24.9227 | |
2015 | 18.4700 | 1989 | 1.4663 | 31.3832 | |
2020 | 19.4396 | 2476 | 1.4481 | 34.0384 | |
Unused | 2005 | 3.2701 | 901 | 0.0961 | 6.7835 |
2010 | 2.4675 | 871 | 0.0312 | 5.8332 | |
2015 | 1.5196 | 664 | 0.0326 | 3.8909 | |
2020 | 0.9377 | 440 | 0.0198 | 2.4122 | |
Water | 2005 | 2.5885 | 224 | 1.2483 | 4.0238 |
2010 | 3.0856 | 301 | 1.3762 | 5.1470 | |
2015 | 3.1079 | 308 | 1.2445 | 5.5046 | |
2020 | 3.1162 | 312 | 1.2445 | 5.5333 |
TIME | NP | PD | LSI | CONTAG | SHDI | SHEI | IJL |
---|---|---|---|---|---|---|---|
2005 | 5785 | 1.9304 | 67.9349 | 60.126 | 1.0972 | 0.6124 | 76.0032 |
2010 | 6232 | 2.0796 | 71.8903 | 58.9966 | 1.1197 | 0.6249 | 77.9305 |
2015 | 6551 | 2.1861 | 73.7858 | 59.4572 | 1.1 | 0.6139 | 74.75 |
2020 | 6882 | 2.2965 | 74.2289 | 59.8602 | 1.0879 | 0.607 | 71.3802 |
Criterion Layer | Factor Layer | Weight (2005) | Weight (2010) | Weight (2015) | Weight (2020) |
---|---|---|---|---|---|
Pressure | Geological disaster susceptibility | 0.248 | 0.265 | 0.269 | 0.272 |
Population density | 0.007 | 0.047 | 0.033 | 0.034 | |
Landscape fragmentation index | 0.103 | 0.083 | 0.078 | 0.079 | |
State | Biological abundance index | 0.138 | 0.106 | 0.127 | 0.126 |
Water conservation index | 0.144 | 0.117 | 0.129 | 0.128 | |
Vegetation coverage | 0.146 | 0.136 | 0.133 | 0.115 | |
Response | Landscape disturbance index | 0.126 | 0.125 | 0.137 | 0.142 |
Landscape restoration index | 0.081 | 0.091 | 0.069 | 0.080 | |
GDP density | 0.007 | 0.029 | 0.024 | 0.024 |
Ecological Security Level | 2005 | 2010 | 2015 | 2020 | ||||
---|---|---|---|---|---|---|---|---|
Area (km2) | Proportion (%) | Area (km2) | Proportion (%) | Area (km2) | Proportion (%) | Area (km2) | Proportion (%) | |
Unsafe | 318.27 | 0.106 | 328.25 | 0.109 | 374.07 | 0.124 | 538.66 | 0.179 |
Less unsafe | 698.12 | 0.232 | 792.97 | 0.264 | 568.63 | 0.189 | 596.84 | 0.198 |
Moderately safe | 646.71 | 0.215 | 454.40 | 0.151 | 601.41 | 0.200 | 497.84 | 0.165 |
Less safe | 745.91 | 0.248 | 544.66 | 0.181 | 588.08 | 0.195 | 659.68 | 0.219 |
Safe | 599.89 | 0.199 | 888.62 | 0.295 | 876.71 | 0.291 | 715.88 | 0.238 |
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Zhang, H.; Nie, K.; Wu, X. Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns. ISPRS Int. J. Geo-Inf. 2024, 13, 204. https://doi.org/10.3390/ijgi13060204
Zhang H, Nie K, Wu X. Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns. ISPRS International Journal of Geo-Information. 2024; 13(6):204. https://doi.org/10.3390/ijgi13060204
Chicago/Turabian StyleZhang, Huaidan, Ke Nie, and Xueling Wu. 2024. "Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns" ISPRS International Journal of Geo-Information 13, no. 6: 204. https://doi.org/10.3390/ijgi13060204
APA StyleZhang, H., Nie, K., & Wu, X. (2024). Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns. ISPRS International Journal of Geo-Information, 13(6), 204. https://doi.org/10.3390/ijgi13060204