Remote Sensing and GIS Support to Identify Potential Areas for Wetland Restoration from Cropland: A Case Study in the West Songnen Plain, Northeast China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Land Cover Dataset
2.3. Indicators for Wetland Restoration
2.3.1. Distribution of Wetland Lost to Cropland
2.3.2. Hydrological Condition and Flood Monitoring
2.3.3. Topographic Condition
2.3.4. Human Disturbance
2.3.5. Landscape Features
2.3.6. Ecological Conservation
2.4. Approach for Identifying Potential Areas for Wetland Restoration
3. Results
3.1. Landscape Pattern and Composition in 2015
3.2. Wetlands Loss Encroached by Cropland Expansion
3.3. Spatial Explicit Information of Wetland Restoration Indicators
3.4. Pattern in Potential Areas for Wetland Restoration
4. Discussion
4.1. Indicators for Wetland Restoration
4.2. Advantages of RS and GIS in Supporting Wetland Restoration
4.3. Management Implications for Regional Sustainability
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Category | Description | Image Example | Photo Example |
---|---|---|---|
Woodland | Woody vegetation | ||
Grassland | Herbaceous vegetation with dry soil | ||
Wetland | Herbaceous vegetation with water saturation in soil | ||
Waterbody | Open surface water | ||
Cropland | Artificial vegetation with obvious phenology, harvested | ||
Built-up land | Artificial bare surface | ||
Bare land | Natural bare surface |
Wetlands Lost to Crop Cultivation | 2010–2015 | 2005–2010 | 2000–2005 | 1990–2000 |
---|---|---|---|---|
Area (km2) | 444.3 | 541.5 | 652.5 | 1115.0 |
Contribution of crop cultivation in wetland loss (%) | 23.5 | 27.1 | 32.6 | 74.2 |
Reserve Name | Core Zone (km2) | Buffer Zone (km2) | Experimental Zone (km2) | Total |
---|---|---|---|---|
Zhalong | 45.2 | 80.2 | 225.1 | 350.5 |
Xianghai | 129.5 | 56.5 | 288.5 | 474.5 |
Momoge | 259.8 | 292.5 | 293.6 | 845.9 |
Chaganhu | 6.5 | 18.4 | 38.8 | 63.7 |
Dabusu | 0.6 | 7.1 | 24.9 | 32.6 |
Total | 441.6 | 454.7 | 870.9 | 1767.2 |
Area (km2) | High Priority | Medium Priority | Total | |||
---|---|---|---|---|---|---|
Dry farmland | 2586.4 | 3706.0 | 3011.0 | 5176.1 | 5597.4 | 8882.1 |
Paddy field | 1119.6 | 2165.1 | 3284.7 |
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Luo, L.; Mao, D.; Wang, Z.; Du, B.; Yan, H.; Zhang, B. Remote Sensing and GIS Support to Identify Potential Areas for Wetland Restoration from Cropland: A Case Study in the West Songnen Plain, Northeast China. Sustainability 2018, 10, 2375. https://doi.org/10.3390/su10072375
Luo L, Mao D, Wang Z, Du B, Yan H, Zhang B. Remote Sensing and GIS Support to Identify Potential Areas for Wetland Restoration from Cropland: A Case Study in the West Songnen Plain, Northeast China. Sustainability. 2018; 10(7):2375. https://doi.org/10.3390/su10072375
Chicago/Turabian StyleLuo, Ling, Dehua Mao, Zongming Wang, Baojia Du, Hengqi Yan, and Bai Zhang. 2018. "Remote Sensing and GIS Support to Identify Potential Areas for Wetland Restoration from Cropland: A Case Study in the West Songnen Plain, Northeast China" Sustainability 10, no. 7: 2375. https://doi.org/10.3390/su10072375