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Published on: February 17, 2018
Mapping and evaluating cultivated land fallow in Southwest China using multisource data
Kaifang Shi1, Qingyuan Yang2, Yuanqing Li2
1Chongqing Engineering Research Centre for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, 2 Tiansheng Rd, Chongqing 400715, China; Research Base of Karst Eco-environments at Nanchuan in Chongqing, Ministry of Nature Resources, School of Geographical Sciences, Southwest University, 2 Tiansheng Rd, Chongqing 400715, China.
This study introduces an integrated index of cultivated land fallow (ILF) to accurately map and evaluate fallow land in Southwest China. Results show human activities are the main driver, informing policy for sustainable land use.
Area of Science:
- Agricultural Science
- Environmental Science
- Remote Sensing
Background:
- Cultivated land fallow mapping in China is crucial but current methods using statistical data or single-aspect remote sensing are inadequate.
- Systematic regional analysis of cultivated land fallow is limited, hindering effective land management and policy development.
Purpose of the Study:
- To develop and validate an integrated index of cultivated land fallow (ILF) for mapping and evaluating fallow land in Southwest China.
- To analyze the spatial distribution of cultivated land fallow at regional, provincial, and metropolitan scales.
- To identify key factors influencing cultivated land fallow and provide a scientific basis for policy-making.
Main Methods:
- Development of an integrated index of cultivated land fallow (ILF) using multisource spatial data.
- Validation of the ILF performance against Google Earth imagery and the ecological carrying capacity of cultivated land (TEC).
- Spatial analysis of cultivated land fallow distribution and influencing factors.
Main Results:
- The ILF provides a reliable method for evaluating cultivated land fallow in Southwest China.
- High ILF values correlate with cultivated land prioritized for fallowing when compared to Google Earth images.
- A significant correlation (R² > 0.65) was found between ILF and TEC at the prefectural level in Sichuan.
- Highly appropriate fallow (HAF) land constituted 5.73% of total cultivated land in Southwest China in 2010.
- Inappropriate fallow (IF) land varied significantly across provinces, with Sichuan and Chongqing showing higher percentages than Yunnan and Guizhou.
- Guiyang and Kunming exhibited notably high proportions of HAF, requiring special attention.
- Human activities were identified as the primary impact factor for cultivated land fallow.
Conclusions:
- The integrated index of cultivated land fallow (ILF) offers a robust approach for mapping and evaluating fallow land in Southwest China.
- The study highlights regional disparities in fallow land management and identifies areas needing targeted interventions.
- Understanding the impact of human activities is critical for developing effective and sustainable cultivated land fallow policies.
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