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The Impact of Climate Change and Human Activity on Spatiotemporal Patterns of Multiple Cropping Index in South West China

Author

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  • Chuangjuan Zhang

    (State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest Agriculture and Forestry University, Yangling 712100, China
    These two authors contributed equally.)

  • Hongming He

    (State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest Agriculture and Forestry University, Yangling 712100, China
    Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, China
    School of Geographic Sciences, East China Normal University, Shanghai 210062, China)

  • Ali Mokhtar

    (State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest Agriculture and Forestry University, Yangling 712100, China
    Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, China
    Department of Agricultural Engineering, Faculty of Agriculture, Cairo University, Giza 12613, Egypt
    These two authors contributed equally.)

Abstract

Agricultural lands are very sensitive to climate and human activity changes, which result in variations in regional agricultural resources and decreased production of total grain output and increased difficulty in producing grain yields. Multiple cropping is one of the simplest ways to increase grain production. The research aims is to analyze the spatial and temporal variations in the multiple cropping index and study the factors that influence the multiple cropping index. Based on the maximum multiple cropping index (MCI) and a “heat-precipitation” quantitative relation model, we analyzed the theoretical potential multiple cropping index (PMCI) and the spatiotemporal changes in the potential increase in the multiple cropping index (PIMCI). Our results are as follows: The MCI was significantly higher in the eastern region than in the western region and higher in the central region than in the northern and southern regions; in Yunnan Province, it showed a fluctuating downwards trend; further, it exhibited sudden declines from 2004 to 2006 and from 2012 to 2014 in Guizhou, while it exhibited an increasing trend in Sichuan Province. The PMCIs were the highest in the eastern and southern regions, especially in eastern Sichuan Province, and the PIMCI was significantly higher in Yunnan Province than in Guizhou and Sichuan. Climate change, human activities, and terrain had significant influences on the MCI changes in southwest China, especially the temperature change, which was the key factor affecting the MCI changes. The dominant land use types in southwest China were forest (46%), grass (28%), and farmland (23%) during 1980–2015. Therefore, the adjustment of the planting structure in different terrain areas according to the temperature changes has become the main strategy to promote the sustainable development of cultivated land resources in the region, further, the results would help implement the plan to increase grain production capacity in southwest China.

Suggested Citation

  • Chuangjuan Zhang & Hongming He & Ali Mokhtar, 2019. "The Impact of Climate Change and Human Activity on Spatiotemporal Patterns of Multiple Cropping Index in South West China," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5308-:d:270923
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    References listed on IDEAS

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    Cited by:

    1. Keke Li & Bofeng Cai & Zhen Wang, 2022. "Accessing the Climate Change Impacts in China through a Literature Mapping," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    2. Tingting Li & Yanfei Wang & Changquan Liu & Shuangshuang Tu, 2021. "Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data," Land, MDPI, vol. 10(8), pages 1-16, August.
    3. Yaxin Shi & Yishao Shi, 2020. "Spatio-Temporal Variation Characteristics and Driving Forces of Farmland Shrinkage in Four Metropolises in East Asia," Sustainability, MDPI, vol. 12(3), pages 1-26, January.

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