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The Application of a Smart Nexus for Agriculture in Korea for Assessing the Holistic Impacts of Climate Change

Author

Listed:
  • Ra Na

    (Department of Rural and Bio-Systems Engineering & BK21 Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture, Chonnam National University, Gwangju 61186, Republic of Korea)

  • Seung-Hwan Yoo

    (Department of Rural and Bio-Systems Engineering & BK21 Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture, Chonnam National University, Gwangju 61186, Republic of Korea)

  • Sang-Hyun Lee

    (Department of Agricultural and Rural Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea)

  • Jin-Yong Choi

    (Department of Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Republic of Korea)

  • Seung-Oh Hur

    (National Institute of Agricultural Sciences, Rural Development Administration, Joenju 55365, Republic of Korea)

  • Pu Reun Yoon

    (Integrated Major in Global Smart Farm, Global Smart Farm Educational Research Center, Seoul National University, Seoul 08826, Republic of Korea)

  • Kwang-Soo Kim

    (Department of Plant Science, Seoul National University, Seoul 08826, Republic of Korea)

Abstract

Sustainable development involves maximizing the benefits of development while minimizing its consequent effects on the environment. This study uses a water–energy–food nexus framework, the Smart Nexus for Agriculture in Korea (SNAK), to assess the impact of climate change on sustainable resource management in agriculture. The nexus database applied in this study comprises three individual databases related to resources, interlinkages, and resource management scenarios, which include all variables and scenarios of the framework. Different resource management scenarios were evaluated via investigating the interlinkages between resources and quantifying resource consumption and sustainability. The variable selection and application module uses the interlinkage database to quantitatively model how the production and supply of one resource affects the consumption of other resources. The scenario analysis module involves the identification and application of resource management scenarios based on policies for individual resources and climate change. The sustainability evaluation module links the previous two modules to quantify food production, the consumption of food and energy resources, carbon (CO 2 ) emissions, and land use in each scenario. Finally, resource security and economic benefits were considered when estimating the sustainability index of each scenario. The SNAK platform is anticipated to possess the ability to analyze environmental, social, and economic systems grounded in water, energy, and food. It is believed that the platform can optimize the timing and allocation of agricultural resources, leading to the derivation of optimal management scenarios. Furthermore, the platform will utilize water–energy–food linkage assessments to formulate scenario-based policies addressing food demand, water resource utilization, and energy consumption.

Suggested Citation

  • Ra Na & Seung-Hwan Yoo & Sang-Hyun Lee & Jin-Yong Choi & Seung-Oh Hur & Pu Reun Yoon & Kwang-Soo Kim, 2024. "The Application of a Smart Nexus for Agriculture in Korea for Assessing the Holistic Impacts of Climate Change," Sustainability, MDPI, vol. 16(3), pages 1-23, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:3:p:990-:d:1324979
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    References listed on IDEAS

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    1. Elahi, Ehsan & Khalid, Zainab & Tauni, Muhammad Zubair & Zhang, Hongxia & Lirong, Xing, 2022. "Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan," Technovation, Elsevier, vol. 117(C).
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