Quantification of Natural and Anthropogenic Driving Forces of Vegetation Changes in the Three-River Headwater Region during 1982–2015 Based on Geographical Detector Model
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data and Processing
2.3. Methods
2.3.1. Linear Regression Analysis
2.3.2. Mann-Kendall Test
2.3.3. Moving t-Test
2.3.4. Geographical Detector
3. Results
3.1. Spatial and Temporal Variation Characteristics of the NDVI in the TRHR
3.2. Trend Analysis of NDVI Changes in the TRHR
3.3. Factor Detection
3.4. Ecological Detection
3.5. Interaction Detection
3.6. Risk Detection
3.6.1. Annual Precipitation
3.6.2. Annual Mean Temperature
3.6.3. Vegetation Type
3.6.4. Elevation
3.6.5. Land Use Type
3.6.6. Synergistic Effects of Other Factors
4. Discussion
4.1. Effects of Natural Factors
4.2. Effects of Anthropogenic Factors
4.3. Effectiveness, Limitations, and Future Directions
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Area/km² | Cropland | Forest Land | High-Coverage Grassland | Middle-Coverage Grassland | Low-Coverage Grassland | Water Area | Construction Land | Unused Land | 2015 Total |
---|---|---|---|---|---|---|---|---|---|
Cropland | 2010.75 | 0.00 | 0.00 | 232.85 | 2.41 | 0.00 | 0.00 | 0.00 | 2246.01 |
Forest land | 0.00 | 14,805.10 | 0.00 | 20.44 | 30.61 | 0.00 | 0.00 | 0.00 | 14,856.15 |
High-coverage grassland | 78.42 | 0.00 | 20,236.10 | 254.87 | 156.84 | 0.00 | 0.00 | 80.83 | 20,807.07 |
Middle-coverage grassland | 0.00 | 71.34 | 78.42 | 93,372.20 | 1250.00 | 0.28 | 0.00 | 160.96 | 94,933.20 |
Low-coverage grassland | 78.42 | 80.83 | 19.61 | 663.11 | 141,923.00 | 225.49 | 0.00 | 182.09 | 143,172.54 |
Water area | 313.68 | 0.00 | 0.00 | 50.22 | 8.78 | 16,702.20 | 0.00 | 289.61 | 17,364.50 |
Construction land | 78.42 | 0.00 | 0.00 | 156.84 | 0.00 | 0.00 | 78.42 | 0.00 | 313.68 |
Unused land | 0.00 | 0.00 | 30.61 | 346.55 | 738.81 | 414.77 | 0.00 | 85,102.60 | 86,633.34 |
1980 Total | 2559.70 | 14,957.27 | 20,364.74 | 95,097.07 | 144,110.46 | 17,342.74 | 78.42 | 85,816.09 | |
Area change | −313.69 | −101.12 | 442.33 | −163.87 | −937.92 | 21.76 | 235.26 | 817.25 |
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Type | Detection Factors | Index | Unit | Type | Detection Factors | Index | Unit |
---|---|---|---|---|---|---|---|
Topography | X1 | Slope | ° | Climate | X7 | Annual mean temperature | °C |
X2 | Aspect | ° | X8 | Annual precipitation | mm | ||
X3 | Elevation | m | Human activity | X9 | GDP | 10,000 yuan/km2 | |
Soil | X4 | Soil type | - | X10 | Population density | people/km2 | |
Vegetation | X5 | Vegetation type | - | X11 | Land use type | - | |
Landform | X6 | Landform type | - |
Foundation | Interaction |
---|---|
q (X1∩X2) < Min [q (X1), q (X2)] | Nonlinear weakening |
Min [q (X1), q (X2) < q (X1∩X2) < Max (q (X1), q (X2)] | Univariate weakening |
q (X1∩X2) > Max [q (X1), q (X2)] | Bivariate enhancement |
q (X1∩X2) = q (X1) + q (X2) | Independent |
q (X1∩X2) > q (X1) + q (X2) | Nonlinear enhancement |
NDVI Grade. | ≤0.2 | 0.2–0.4 | 0.4–0.6 | 0.6–0.8 | >0.8 | Total in 2015 | Shifted-In |
---|---|---|---|---|---|---|---|
≤0.2 | 52,380.30 | 3574.52 | 28.62 | 40.13 | 0.00 | 56,023.57 | 3643.27 |
0.2–0.4 | 15,250.20 | 79,604.60 | 7079.04 | 67.18 | 0.00 | 102,001.02 | 22,396.42 |
0.4–0.6 | 136.95 | 11,649.30 | 75,441.70 | 15,042.10 | 21.39 | 10,2291.44 | 26,849.74 |
0.6–0.8 | 0.00 | 234.22 | 9102.26 | 81,869.60 | 14,528.30 | 105,734.38 | 23,864.78 |
>0.8 | 0.00 | 0.00 | 40.50 | 4214.91 | 10,510.80 | 14,766.21 | 4255.41 |
Total in 1982 | 67,767.45 | 95,062.64 | 91,692.13 | 101,233.92 | 25,060.49 | 380,816.63 | |
Shifted-out | 15,387.15 | 15,458.04 | 16,250.43 | 19,364.32 | 14,549.69 | ||
Variation | −11,743.88 | 6938.38 | 10,599.31 | 4500.46 | −10,294.28 | ||
Percentage (%) | −3.08 | 1.82 | 2.78 | 1.18 | −2.70 |
Change Trend | Gradient | Area/km2 | Percentage (%) |
---|---|---|---|
Significant degradation | −0.0107–−0.0024 | 5511.50 | 1.44 |
Moderate degradation | −0.0024–−0.0010 | 40,788.80 | 10.65 |
Slight degradation | −0.0010–−0.0002 | 79,577.90 | 20.78 |
Basically unchanged | −0.0002–0.0005 | 112,079.00 | 29.27 |
Slight improvement | 0.0005–0.0013 | 94,305.40 | 24.63 |
Moderate improvement | 0.0013–0.0026 | 44,664.90 | 11.66 |
Significant improvement | 0.0026–0.0179 | 6025.25 | 1.57 |
Factors | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 | X9 | X10 | X11 |
---|---|---|---|---|---|---|---|---|---|---|---|
q value | 0.141 | 0.055 | 0.350 | 0.147 | 0.409 | 0.216 | 0.463 | 0.550 | 0.088 | 0.204 | 0.244 |
p value | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
Factors | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 | X9 | X10 | X11 |
---|---|---|---|---|---|---|---|---|---|---|---|
X1 | |||||||||||
X2 | Y | ||||||||||
X3 | Y | Y | |||||||||
X4 | N | Y | Y | ||||||||
X5 | Y | Y | Y | Y | |||||||
X6 | Y | Y | Y | Y | Y | ||||||
X7 | Y | Y | Y | Y | Y | Y | |||||
X8 | Y | Y | Y | Y | Y | Y | Y | ||||
X9 | Y | Y | Y | Y | Y | Y | Y | Y | |||
X10 | Y | Y | Y | Y | Y | N | Y | Y | Y | ||
X11 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 | X9 | X10 | X11 | |
---|---|---|---|---|---|---|---|---|---|---|---|
X1 | 0.141 | ||||||||||
X2 | 0.176 | 0.055 | |||||||||
X3 | 0.473 | 0.415 | 0.350 | ||||||||
X4 | 0.258 | 0.164 | 0.461 | 0.147 | |||||||
X5 | 0.468 | 0.431 | 0.599 | 0.468 | 0.409 | ||||||
X6 | 0.265 | 0.255 | 0.548 | 0.356 | 0.507 | 0.216 | |||||
X7 | 0.522 | 0.532 | 0.611 | 0.597 | 0.660 | 0.535 | 0.463 | ||||
X8 | 0.583 | 0.585 | 0.680 | 0.610 | 0.677 | 0.605 | 0.679 | 0.550 | |||
X9 | 0.227 | 0.149 | 0.376 | 0.247 | 0.487 | 0.301 | 0.487 | 0.586 | 0.088 | ||
X10 | 0.304 | 0.266 | 0.485 | 0.371 | 0.558 | 0.352 | 0.527 | 0.607 | 0.352 | 0.204 | |
X11 | 0.324 | 0.263 | 0.501 | 0.324 | 0.492 | 0.369 | 0.573 | 0.628 | 0.334 | 0.360 | 0.244 |
Factors | Suitable Range or Types | NDVI |
---|---|---|
Slope (°) | >25 | 0.610 |
Aspect | North, Northeast, East, West, Northwest | 0.484 |
Elevation (m) | 3446–3851 | 0.743 |
Soil type | Semi-leached | 0.689 |
Vegetation type | Coniferous forest, broadleaf forest, scrub | 0.712 |
Landform type | Medium undulating mountains | 0.601 |
Annual mean temperature (°C) | 1.65–3.82 | 0.681 |
Annual precipitation (mm) | 578–708 | 0.770 |
GDP (10,000 yuan/km2) | 12–37, 104–242 | 0.609 |
Population density (people/km2) | 74.95–94.31 | 0.699 |
Land use type | Forest land, construction land | 0.743 |
Zones | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|
1 | |||||||||
2 | Y | ||||||||
3 | Y | Y | |||||||
4 | Y | Y | Y | ||||||
5 | Y | Y | Y | Y | |||||
6 | Y | Y | Y | Y | Y | ||||
7 | Y | Y | Y | Y | Y | Y | |||
8 | Y | Y | Y | Y | Y | Y | N | ||
9 | Y | Y | Y | Y | Y | Y | Y | Y | |
NDVI | 0.310 | 0.282 | 0.329 | 0.462 | 0.572 | 0.664 | 0.696 | 0.691 | 0.771 |
Zones | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|
1 | |||||||||
2 | N | ||||||||
3 | Y | Y | |||||||
4 | Y | Y | Y | ||||||
5 | Y | Y | Y | Y | |||||
6 | Y | Y | Y | Y | Y | ||||
7 | Y | Y | Y | Y | Y | Y | |||
8 | Y | Y | Y | N | Y | Y | Y | ||
9 | Y | Y | Y | Y | Y | Y | Y | Y | |
NDVI | 0.260 | 0.275 | 0.294 | 0.482 | 0.598 | 0.682 | 0.659 | 0.497 | 0.553 |
Zones | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|
1 | |||||||||
2 | Y | ||||||||
3 | Y | N | |||||||
4 | Y | N | N | ||||||
5 | Y | Y | Y | Y | |||||
6 | Y | Y | Y | Y | Y | ||||
7 | Y | Y | N | Y | Y | Y | |||
8 | Y | Y | N | Y | Y | Y | Y | ||
9 | Y | Y | N | Y | Y | Y | N | N | |
NDVI | 0.159 | 0.714 | 0.583 | 0.702 | 0.229 | 0.270 | 0.544 | 0.368 | 0.466 |
Zones | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|
1 | |||||||||
2 | Y | ||||||||
3 | Y | Y | |||||||
4 | Y | Y | Y | ||||||
5 | Y | Y | Y | Y | |||||
6 | Y | Y | Y | Y | Y | ||||
7 | Y | N | Y | Y | Y | Y | |||
8 | N | Y | Y | Y | Y | Y | Y | ||
9 | Y | Y | Y | Y | Y | Y | Y | Y | |
NDVI | 0.297 | 0.418 | 0.744 | 0.704 | 0.550 | 0.457 | 0.396 | 0.303 | 0.253 |
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Gao, S.; Dong, G.; Jiang, X.; Nie, T.; Yin, H.; Guo, X. Quantification of Natural and Anthropogenic Driving Forces of Vegetation Changes in the Three-River Headwater Region during 1982–2015 Based on Geographical Detector Model. Remote Sens. 2021, 13, 4175. https://doi.org/10.3390/rs13204175
Gao S, Dong G, Jiang X, Nie T, Yin H, Guo X. Quantification of Natural and Anthropogenic Driving Forces of Vegetation Changes in the Three-River Headwater Region during 1982–2015 Based on Geographical Detector Model. Remote Sensing. 2021; 13(20):4175. https://doi.org/10.3390/rs13204175
Chicago/Turabian StyleGao, Siqi, Guotao Dong, Xiaohui Jiang, Tong Nie, Huijuan Yin, and Xinwei Guo. 2021. "Quantification of Natural and Anthropogenic Driving Forces of Vegetation Changes in the Three-River Headwater Region during 1982–2015 Based on Geographical Detector Model" Remote Sensing 13, no. 20: 4175. https://doi.org/10.3390/rs13204175
APA StyleGao, S., Dong, G., Jiang, X., Nie, T., Yin, H., & Guo, X. (2021). Quantification of Natural and Anthropogenic Driving Forces of Vegetation Changes in the Three-River Headwater Region during 1982–2015 Based on Geographical Detector Model. Remote Sensing, 13(20), 4175. https://doi.org/10.3390/rs13204175