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An Assessment of Agricultural Vulnerability in the Context of Global Climate Change: A Case Study in Ha Tinh Province, Vietnam

Author

Listed:
  • Duong Thi Loi

    (Faculty of Geography, Hanoi National University of Education, Hanoi 100000, Vietnam)

  • Le Van Huong

    (Institute of Geography, Vietnam Academy of Science and Technology, Hanoi 100000, Vietnam)

  • Pham Anh Tuan

    (Faculty of Social Science, Tay Bac University, Son La 34100, Vietnam)

  • Nguyen Thi Hong Nhung

    (Faculty of Social Science, Tay Bac University, Son La 34100, Vietnam)

  • Tong Thi Quynh Huong

    (Faculty of Social Science, Tay Bac University, Son La 34100, Vietnam)

  • Bui Thi Hoa Man

    (Faculty of Social Science, Tay Bac University, Son La 34100, Vietnam)

Abstract

Climate change is considered a major challenge of mankind in the 21st century. Agriculture is known as one of the most vulnerable sectors to climate change. This study aims to evaluate agricultural vulnerability to climate change in Ha Tinh province. The agricultural vulnerability zoning map is presented by using the index method with eight influential indicators across three components: exposure, sensitivity, and adaptive capacity. Agricultural vulnerability is quantified and classified into five levels, namely very low, low, moderate, high, and very high. The results indicated that Ha Tinh’s agriculture was heavily affected by climate change, and the most vulnerable area is found in Huong Khe district and Thach Ha district. People and their activities play an important role in mitigating the vulnerability of agriculture to climate change. The results obtained from this study provide useful information for planning and determining guidelines to help farmers in the area.

Suggested Citation

  • Duong Thi Loi & Le Van Huong & Pham Anh Tuan & Nguyen Thi Hong Nhung & Tong Thi Quynh Huong & Bui Thi Hoa Man, 2022. "An Assessment of Agricultural Vulnerability in the Context of Global Climate Change: A Case Study in Ha Tinh Province, Vietnam," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1282-:d:731914
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    Citations

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    Cited by:

    1. Min Zhou & Liu Yang & Dan Ye, 2023. "Spatiotemporal Variation of Rural Vulnerability and Its Clustering Model in Guizhou Province," Land, MDPI, vol. 12(7), pages 1-25, July.

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