Energy-use pattern and carbon footprint of rain-fed watermelon production in Iran

Abstract The analysis of energy-use patterns and carbon footprint is useful in achieving sustainable development in agriculture. Energy-use indices and carbon footprint for rain-fed watermelon production were studied in the Kiashahr region of Northern Iran. Data were collected from 58 farmers using a self-structured questionnaire during the growing season of 2013. The Cobb–Douglas model and sensitivity analysis were used to evaluate the effects of energy input on rain-fed watermelon yield. The findings demonstrated that chemical fertilizers consumed the highest percentage of total energy input (75.2%), followed by diesel fuel (12.9%). The total energy input was 16594.74 MJ ha −1 and total energy output was 36275.24 MJ ha −1 . The results showed that the energy-use ratio was 2.19, energy productivity was 1.15 kg MJ −1 , energy intensity was 0.87 MJ kg −1 , and net energy gain was 19680.60 MJ ha −1 . Direct and indirect energy for watermelon production were calculated as 2374.4 MJ ha −1 (14.3%) and 14220.3 MJ ha −1 (85.7%), respectively. The share of renewable energy was 1.4%. This highlights the need to reduce the share of non-renewable energy and improve the sustainability of rain-fed watermelon production in Northern Iran. The study of carbon footprint showed that the chemical fertilizer caused the highest percentage of greenhouse gas emissions (GHG) followed by machinery with 52.6% and 23.8% of total GHG emissions, respectively. The results of the Cobb–Douglas model and sensitivity analysis revealed that increasing one MJ of energy input of human labor, machinery, diesel fuel, chemical fertilizers, biocides, and seed changed the yield by 1.03, 0.96, 0.19, −0.97, 0.16, and 0.22 kg, respectively, in the Kiashahr region of Northern Iran. Providing some of the nitrogen required for crop growth through biological alternatives, renewing old power tillers, and using conservation tillage machinery may enhance energy efficiency and mitigate GHG emissions for rain-fed watermelon production in Northern Iran.

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