Habitat Quality Assessment under the Change of Vegetation Coverage in the Tumen River Cross-Border Basin
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data Source and Processing
2.3. Methodology
2.3.1. Dimidiate Pixel Model
2.3.2. Univariate Linear Trend
2.3.3. Geographic Detector Model
2.3.4. Habitat Quality Assessment
2.3.5. Geographically Weighted Regression Model
2.3.6. Improved InVEST Habitat Quality Model
2.3.7. Spatial Autocorrelation Analysis
3. Results
3.1. Temporal and Spatial Distribution of Fraction Vegetation Cover Changes in the Tumen River Cross-Border Basin
3.2. Analysis of Driving Factors of Vegetation Cover Change in the Tumen River Cross-Border Basin
3.3. Habitat Quality Assessment Results
4. Discussion
4.1. Analysis of Spatio-Temporal Dynamic Variation of Vegetation Coverage
4.2. Effects of Different Driving Factors on Fraction Vegetation Coverage
4.3. Effect of Human Activities and Fraction Vegetation Coverage on Habitat Quality
4.4. Habitat Quality Assessment Coupled with Fraction Vegetation Coverage
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Type | Name | Code | Resolution | Source |
---|---|---|---|---|
Vegetation | Normalized Digital Vegetation Index | NDVI | 250 m | MOD13Q1-MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid provided by NASA (https://ladsweb.modaps.eosdis.nasa.gov/, accessed on 11 February 2023) |
Climatic | Monthly mean air temperature | Tem | 0.5° | CRU TS v. 4.06 provided by the CRU (https://crudata.uea.ac.uk/, accessed on 11 February 2023) |
Monthly total of precipitation | Pre | |||
Monthly mean land surface air temperature | Lst | GHCN_CAMS Gridded V2 by the NOAA Physical Sciences Laboratory (https://psl.noaa.gov/, accessed on 11 February 2023) | ||
Topographic | Elevation | Ele | 30 m | ASTER GDEM 30 m (https://www.gscloud.cn/, accessed on 11 February 2023) |
Slope | Slo | |||
Aspect | Asp | |||
Human activity | Density of population | Pop | 30″ | LandScan Global population dataset (https://landscan.ornl.gov/, accessed on 11 February 2023) |
Land use and land cover | LULC | 30 m | GLOBELAND30 (http://www.globallandcover.com/, accessed on 11 February 2023) | |
Nighttime light satellite data | Light | 15″ | An extended time series (2000–2020) of global NPP-VIIRS-like nighttime light data from across-sensor calibration (https://doi.org/10.7910/DVN/YGIVCD, accessed on 11 February 2023) | |
Railway | Railway | / | China 1:1 million public version basic geographic information database (2021) (https://www.webmap.cn/, accessed on 11 February 2023) | |
Highway | Highway | |||
Settlement | Settlement |
Threat | Max_Dist | Weight | Decay |
---|---|---|---|
Artificial Surfaces | 3 | 1 | exponential |
Cultivated Land | 1 | 0.7 | linear |
Railway | 4 | 0.6 | exponential |
Highway | 3 | 0.5 | exponential |
Settlement | 2 | 0.4 | linear |
Land Cover Type | Habitat Suitability Index | Sensitivity of Habitat Types to Each Threat | ||||
---|---|---|---|---|---|---|
Artificial Surfaces | Cultivated Land | Railway | Highway | Settlement | ||
Cultivated Land | 0.4 | 0.5 | 0.3 | 0.3 | 0.2 | 0.5 |
Forest | 0.8 | 0.5 | 0.4 | 0.6 | 0.5 | 0.3 |
Grassland | 0.6 | 0.6 | 0.5 | 0.7 | 0.6 | 0.4 |
Wetland | 0.9 | 0.7 | 0.6 | 0.8 | 0.7 | 0.5 |
Water Bodies | 0.8 | 0.8 | 0.7 | 0.7 | 0.6 | 0.6 |
Artificial Surfaces | 0 | 0 | 0 | 0 | 0 | 0 |
Bare land | 0.1 | 0.3 | 0.1 | 0.2 | 0.2 | 0.1 |
Evaluation Index | Vegetation Coverage Suitable Range | Mean Vegetation Coverage | ||||
---|---|---|---|---|---|---|
Tumen | China | North Korea | Tumen | China | North Korea | |
LULC | Forest | Forest | Forest | 0.710 | 0.732 | 0.654 |
Tem | 2.91–3.42 °C | 2.98–3.42 °C | 4.66–5.2 °C | 0.713 | 0.754 | 0.612 |
Pre | 661–675 mm | 670–679 mm | 624–636 mm | 0.693 | 0.736 | 0.653 |
Lst | 7.437–7.443 °C | 7.44–7.45 °C | 7.61–7.63 °C | 0.760 | 0.755 | 0.662 |
Ele | 666–824 m | 761–890 m | 1430–1640 m | 0.746 | 0.777 | 0.681 |
Slo | 12.4–17.5° | 11.3–15.8° | 7.62–17.5° | 0.735 | 0.791 | 0.681 |
Asp | West | West | Northwest | 0.676 | 0.716 | 0.616 |
Pop | 0–0.0526 | 0–0.0526 | 0–0.789 | 0.773 | 0.774 | 0.736 |
Light | 0–0.048 | 0–0.0482 | 0–0.0002 | 0.643 | 0.686 | 0.553 |
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Wang, Y.; Quan, D.; Zhu, W.; Lin, Z.; Jin, R. Habitat Quality Assessment under the Change of Vegetation Coverage in the Tumen River Cross-Border Basin. Sustainability 2023, 15, 9269. https://doi.org/10.3390/su15129269
Wang Y, Quan D, Zhu W, Lin Z, Jin R. Habitat Quality Assessment under the Change of Vegetation Coverage in the Tumen River Cross-Border Basin. Sustainability. 2023; 15(12):9269. https://doi.org/10.3390/su15129269
Chicago/Turabian StyleWang, Yue, Donghe Quan, Weihong Zhu, Zhehao Lin, and Ri Jin. 2023. "Habitat Quality Assessment under the Change of Vegetation Coverage in the Tumen River Cross-Border Basin" Sustainability 15, no. 12: 9269. https://doi.org/10.3390/su15129269