4.7 Article

Food-centric interlinkages in agricultural food-energy-water nexus under climate change and irrigation management

Journal

RESOURCES CONSERVATION AND RECYCLING
Volume 163, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.resconrec.2020.105099

Keywords

FEW nexus; Paddy rice; Climate change; Productivity; Irrigation requirement; Footprint

Funding

  1. Japan Science and Technology Agency as part of the Belmont Forum (grant name: SUGI Food-Water-Energy Nexus)
  2. Research Program for Agricultural Science & Technology Development, National Institute of Agricultural Science at Rural Development Administration [PJ013435]
  3. National Research Foundation of Korea (NRF) [2017R1E1A1A01077413]
  4. National Research Foundation of Korea [2017R1E1A1A01077413] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This study aimed to assess the holistic impacts of climate change and irrigation management on food centric water-energy-land interlinkages in the Food-Energy-Water (FEW) nexus specialized in agriculture. Accordingly, we analyzed the trends and variation in productivity, irrigation requirement, and energy input for paddy rice production, which is the representative crop in Korea, from 1990 to 2099 with eight general circulation models (GCMs) as climate change scenarios. Results showed that the productivity of paddy rice would decrease owing to climate change, and its variation would increase. Irrigation requirement under the MIROC-ESM scenario was estimated as 849mm year(-1) in 2020-2099, which was 37mm year(-1) greater than that in 1990-2018. The change in irrigation management from continuous to intermittent irrigation would affect the interlinkages in the agricultural FEW nexus. Intermittent irrigation could positively influence irrigation water savings but lower productivity under climate change, and would increase the variation in both productivity and irrigation requirement. Finally, we analyzed the blue water and land footprints as interlinkage indicators in the FEW nexus. In particular, we classified the simulation results from eight GCMs in 2020-2099 based on footprints and precipitation through K-means clustering to assess the differences between footprints under various precipitation conditions. The largest number of cases was classified in the cluster characterized by large blue water footprints but small land footprints under low precipitation. These results could help develop the agricultural FEW nexus platform considering the various impacts of climate change and irrigation management.

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