Greenhouse gas emissions and water footprints of typical dietary patterns in India

被引:52
|
作者
Green, Rosemary F. [1 ,2 ]
Joy, Edward J. M. [1 ,2 ]
Harris, Francesca [1 ]
Agrawal, Sutapa [3 ]
Aleksandrowicz, Lukasz [1 ,2 ]
Hillier, Jon [4 ]
Macdiarmid, Jennie I. [5 ]
Milner, James [6 ]
Vetter, Sylvia H. [7 ]
Smith, Pete [7 ]
Haines, Andy [1 ,6 ]
Dangour, Alan D. [1 ,2 ]
机构
[1] London Sch Hyg & Trop Med, Dept Populat Hlth, Keppel St, London WC1E 7HT, England
[2] LCIRAH, 36 Gordon Sq, London WC1H 0PD, England
[3] Delhi NCR, Publ Hlth Fdn India, Plot 47,Sect 44, Gurgaon 122002, Haryana, India
[4] Univ Edinburgh, Royal Dick Sch Vet Studies, Easter Bush EH25 9RG, Midlothian, Scotland
[5] Univ Aberdeen, Rowett Inst Nutr & Hlth, Aberdeen AB25 2ZD, Scotland
[6] London Sch Hyg & Trop Med, Dept Social & Environm Hlth Res, 15-17 Tavistock Pl, London WC1H 9SH, England
[7] Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen AB24 3UU, Scotland
基金
英国惠康基金;
关键词
Sustainability; India; Greenhouse gas emissions; Water footprint; Agriculture; Dietary pattern; NUTRITION TRANSITION; FOOD-CONSUMPTION; TRENDS; CROP; DEPLETION; ADULTS; SYSTEM; BLUE;
D O I
10.1016/j.scitotenv.2018.06.258
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Agriculture is a major contributor to India's environmental footprint, particularly through greenhouse gas (GHG) emissions from livestock and fresh water used for irrigation. These impacts are likely to increase in future as agriculture attempts to keep pace with India's growing population and changing dietary preferences. Within India there is considerable dietary variation, and this study therefore aimed to quantify the GHG emissions and water usage associated with distinct dietary patterns. Five distinct diets were identified from the Indian Migration Study - a large adult population sample in India using finite mixture modelling. These were defined as: Rice & low diversity, Rice & fruit, Wheat & pulses, Wheat, rice & oils, Rice & meat. The GHG emissions of each dietary pattern were quantified based on a Life Cycle Assessment (LCA) approach, and water use was quantified using Water Footprint (WF) data. Mixed-effects regression models quantified differences in the environmental impacts of the dietary patterns. There was substantial variability between diets: the rice-based patterns had higher associated GHG emissions and green WFs, but the wheat-based patterns had higher blue WFs. Regression modelling showed that the Rice & meat pattern had the highest environmental impacts overall, with 0.77 (95% CI 0.64-0.89) kg CO(2)e/capita/day (31%) higher emissions, 536 (95% CI 449-623) L/capita/day (24%) higher green WF and 109 (95% CI 85.9-133) L/capita/day (19%) higher blue WF than the reference Rice & low diversity pattern. Diets in India are likely to become more diverse with rising incomes, moving away from patterns such as the Rice & low diversity diet. Patterns such as the Rice & meat diet may become more common, and the environmental consequences of such changes could be substantial given the size of India's population. As global environmental stress increases, agricultural and nutrition policies must recognise the environmental impacts of potential future dietary changes. (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1411 / 1418
页数:8
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