Estimation and mitigation of GHG emissions from ruminant livestock in Pakistan
Ghulam HabibFormer Professor of Animal Nutrition, University of Agriculture, Peshawar, 25000, Pakistan. Email: habibnutr@gmail.com
Animal Production Science 59(8) 1558-1567 https://doi.org/10.1071/AN17743
Submitted: 31 October 2017 Accepted: 23 October 2018 Published: 6 December 2018
Abstract
The study examined baseline emissions of greenhouse gases from ruminant livestock in Pakistan for the year 2014 and evaluated feasible interventions for mitigating the sector emissions. Total emissions (as CO2-equivalents) from livestock supply chain from cradle to farm gate were estimated at 431 007 × 103 t. Major part (77%) of the emissions was produced by the mixed system and the remaining 23% was contributed by the grazing system. Methane emissions were 62.5% of the total emissions, followed by N2O at 29.4% and CO2 at 8.1%. Bulk of milk (87.6%) and meat (59.4%) was produced by the mixed system, which was associated with three-fold higher emissions at 332 248 × 103 t than when they were produced by the grazing system. The emission intensity (kg CO2-eq/kg protein) of milk and meat averaged 183.4 and 443.2 respectively, and ranked higher than the global average values. Buffaloes were responsible for the major proportion of emissions, followed by cattle. Average emissions per animal in buffalo, cattle, sheep and goat were 4.27, 3.27, 0.28 and 0.25 t CO2-eq/year respectively. The emission intensities (kg CO2-eq/kg commodity protein) of both milk and meat remained lower in cattle than buffalo and were calculated as 166.1 and 299.7 in cattle and 189.5 and 527.9 in buffaloes respectively. The carbon footprint of milk and meat in sheep and goats also remained high and averaged 189.0 and 472.6 kg CO2-eq/kg protein respectively. Overall, the emission intensity of meat was slightly higher in the grazing system than mixed system, but remained much higher in non-dairy herds than in dairy herds (1006.6 vs 46.6 kg CO2-eq/kg meat protein). Interventions such as improving diet quality through increased fodder supply, vaccination for adequate health control and genetic improvement reduced emission intensities of milk (kg CO2-eq/kg protein), varying from 20.3% to 36.8% compared with the baseline in dairy cows and buffaloes and this was associated with a positive productivity outcome of enhanced milk production by 25–50%. More significant reduction in emission intensities of milk between 48.1% and 53.1%, together with a 100% increase in milk yield above baseline, resulted from combined application of the three interventions as a single package.
Additional keywords: emission intensity farming systems, meat production, milk production.
References
Clark H (2016) The estimation and mitigation of agricultural greenhouse gas emissions from livestock. Proceedings of international seminar on livestock production and veterinary technology. pp. 5–13. (Indonesian Center for Animal Research and Development: Bali, Indonesia) Available at http://dx.doi.org/10.14334/Proc.Intsem.LPVT-2016-p.5-13 [Verified 9 October 2017]Dost M (2003) Fodder production for peri-urban dairies in Pakistan. (Country Pasture/Forage Resource Profiles, FAO: Rome) Available at http://www.fao.org/ag/AGP/AGPC/doc/Counprof/Pakistan/Pakistan.htm [Verified 19 October 2017]
FAO (2013) ‘Greenhouse gas emissions from ruminant supply chains: a global life cycle assessment.’ (FAO: Rome) Available at http://www.fao.org/docrep/018/i3461e/i3461e.pdf [Verified 10 October 2017]
FAO (2017) ‘Supporting low emissions development in the Ethiopian dairy cattle sector: reducing enteric methane for food security and livelihoods.’ (FAO and New Zealand Agricultural Greenhouse Gas Research Centre: Rome) Available at http://www.fao.org/3/a-i6821e.pdf [Verified 18 October 2017]
FAOSTAT (2017) ‘Online statistical database.’ (FAO: Rome) Available at http://faostat.fao.org/ [Verified 7 October 2017]
Garg MR, Phondba BT, Sherasia PL, Makkar HPS (2016) Carbon footprint of milk production under smallholder dairying in Anand district of western India: a cradle-to-farm gate life cycle assessment. Animal Production Science 56, 423–436.
| Carbon footprint of milk production under smallholder dairying in Anand district of western India: a cradle-to-farm gate life cycle assessment.Crossref | GoogleScholarGoogle Scholar |
Gerber PJ, Steinfeld H, Henderson B, Mottet A, Opio C, Dijkman J, Falcucc, Tempio AG (2013) ‘Tackling climate change through livestock: a global assessment of emissions and mitigation opportunities.’ (FAO: Rome) Available at http://www.fao.org/3/a-i3437e.pdf [Verified 28 September 2017]
Germanwatch (2017) ‘Global climate risk index 2017.’ Available at www.germanwatch.org/en/cri [Verified 20 October 2017]
GLEAM-i (2017) ‘Global livestock environmental assessment model, version 2, revision 3.’ (FAO: Rome) Available at http://www.fao.org/gleam/resources/en/ [Verified 8 August 2017]
GOP (1996) ‘Livestock census Pakistan.’ (Government of Pakistan, Statistical Division: Islamabad, Pakistan)
GOP (2006) ‘Livestock census Pakistan.’ (Government of Pakistan, Statistical Division: Islamabad, Pakistan) Available at http://www.pbs.gov.pk/content/pakistan-livestock-census-2006 [Verified 10 August 2017]
GOP (2014–2015) ‘Economic survey of Pakistan.’ (Government of Pakistan, Statistical Division: Islamabad, Pakistan) Available at http://www.finance.gov.pk/survey/chapters_15/02_Agricultre.pdf [Verified 10 August 2017]
Habib G, Khan MFU, Javaid S, Saleem M (2016) Assessment of feed supply and demand for livestock in Pakistan. Journal of Agricultural Science and Technology A 6, 191–202.
| Assessment of feed supply and demand for livestock in Pakistan.Crossref | GoogleScholarGoogle Scholar |
Henderson B, Gerber P, Hilinski T, Falcucci A, Ojima D, Salvatore M, Conant R (2015) Greenhouse gas mitigation potential of the world’s grazing lands: modelling soil carbon and nitrogen fluxes of mitigation practices. Agriculture, Ecosystems & Environment 207, 91–100.
| Greenhouse gas mitigation potential of the world’s grazing lands: modelling soil carbon and nitrogen fluxes of mitigation practices.Crossref | GoogleScholarGoogle Scholar |
Herrero M, Henderson B, Havlík P, Thornton PK, Conant RT, Smith P, Wirsenius S, Hristov AN, Gerber P, Gill M, Butterbach-Bahl K, Valin H, Garnett T, Stehfes E (2016) Greenhouse gas mitigation potentials in the livestock sector. Nature Climate Change 6, 452–461.
Hristov AN, Oh J, Firkins JL, Dijkstra J, Kebreab E, Waghorn G, Makkar HPS, Adesogan TT, Yang W, Lee C, Gerber PJ, Henderson B, Tricarico JM (2013a) Special topics: mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options. Journal of Animal Science 91, 5045–5069.
| Special topics: mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options.Crossref | GoogleScholarGoogle Scholar |
Hristov AN, Oh J, Lee C, Meinen R, Montes F, Ott T, Firkins J, Rotz A, Dell C, Adesogan A, Yang W, Tricarico J, Kebreab E, Waghorn G, Dijkstra J, Oosting S (2013b) ‘Mitigation of greenhouse gas emissions in livestock production: a review of technical options for non-CO2 emissions.’ (Eds PJ Gerber, B Henderson, HPS Makkar) FAO animal production and health paper no. 177. (FAO: Rome) Available at http://www.fao.org/docrep/018/i3288e/i3288e.pdf [Verified 18 October 2017]
IPCC (2014) ‘Climate change 2014: impacts, adaptation, and vulnerability. Part B: regional aspects. In ‘Contribution of Working Group II to the fifth assessment report of the Intergovernmental Panel on Climate Change’. (Eds VR Barros, CB Field, DJ Dokken, MD Mastrandrea, KJ Mach, TE Bilir, M Chatterjee, KL Ebi, YO Estrada, RC Genova, B Girma, ES Kissel, AN Levy, S MacCracken, PR Mastrandrea, LL White) (Cambridge University Press: Cambridge, UK)
Iqbal M, Ahmad M (1999) An assessment of livestock production potential in Pakistan: implications for livestock sector policy. Pakistan Development Review 38, 615–628.
| An assessment of livestock production potential in Pakistan: implications for livestock sector policy.Crossref | GoogleScholarGoogle Scholar |
Jabbar MA, Ahuja V (2017) ‘Dairy and climate change interface with a focus on the Asia–Pacific region: an exploratory review. Working paper number: 2017-05.’ (FAO Regional Office for Asia and the Pacific: Bangkok, Thailand) Available at http://www.dairyasia.org/file/WP5_Dairy_and_climate_change_interface.pdf [Verified 18 October 2017]
Karttunen K, Wolf F, Garcia C, Meybeck A (2017) ‘Addressing agriculture, forestry and fisheries in national adaptation plans: supplementary guidelines.’ (Food and Agriculture Organization of the United Nations: Rome) Available at https://reliefweb.int/sites/reliefweb.int/files/resources/a-i6714e.pdf [Verified 23 October 2017]
Mottet A, Henderson B, Opio C, Falcucci A, Tempio G, Silvestri S, Chesterman S, Gerber JP (2017) Climate change mitigation and productivity gains in livestock supply chains: insights from regional case studies. Regional Environmental Change 17, 129–141.
| Climate change mitigation and productivity gains in livestock supply chains: insights from regional case studies.Crossref | GoogleScholarGoogle Scholar |
Opio C, Gerber P, Mottet A, Falcucci A, Tempio G, MacLeod M, Vellinga T, Henderson B, Steinfeld H (2013) ‘Greenhouse gas emissions from ruminant supply chains: a global life cycle assessment.’ (Food and Agriculture Organization of the United Nations (FAO): Rome) Available at http://www.fao.org/docrep/018/i3461e/i3461e.pdf [Verified 5 October 2017]
Özkan S, Ahmadi BV, Bonesmo H, Østerås O, Stott A, Harstad OM (2015) Impact of animal health on greenhouse gas emissions. Advances in Animal Biosciences 6, 24–25.
| Impact of animal health on greenhouse gas emissions.Crossref | GoogleScholarGoogle Scholar |
Pryce JE, Veerkamp RF (2001) The incorporation of fertility indices in genetic improvement programmes. Fertility in the high producing dairy cow. BSAS occasional publication 26. pp. 237–250. Available at https://www.researchgate.net/publication/40147506_The_incorporation_of_fertility_indices_in_genetic_improvement_programmes [Verified 26 November 2016]
Rehman T, Khan MU, Tayyab M, Akram MW, Faheem M (2016) Current status and overview of farm mechanization in Pakistan: a review. Agricultural Engineering International: CIGR Journal 18, 83–93. http://www.cigrjournal.org/index.php/Ejounral/article/view/3650/2346
Skuce P, Houdijk J, Hutchings M, Waterhouse T, MacLeod M (2014) ‘The impact of animal health status on greenhouse gas emissions from livestock.’ Research briefings. Knowledgescotland science policy connections online. Available at http://www.knowledgescotland.org/briefings.php?id=378 [Verified 24 October 2017]
Stott A, MacLeod M, Moran D (2010) ‘Reducing greenhouse gas emissions through better animal health.’ Policy briefing (RPC PB 2010/01). (Rural Policy Centre: Edinburgh, UK) Available at http://www.sac.ac.uk/ruralpolicycentre [Verified 24 October 2017]
Tubiello FN, Salvatore M, Rossi S, Ferrara A, Fitton N, Smith P (2013) The FAOSTAT database of greenhouse gas emissions from agriculture. Environmental Research Letters 8, 015009
United States Environmental Protection Agency (EPA) (2017) ‘Understanding global warming potentials.’ Available at https://www.epa.gov/ghgemissions/understanding-global-warming-potentials [Verified 25 October 2016]
USAID (2016) ‘Greenhouse gas emissions factsheet: Pakistan.’ Available at https://www.climatelinks.org/sites/default/files/asset/document/GHG%20Emissions%20Fact%20Sheet%20Pakistan_6-3-2016_edited_rev%2008-18-2016.pdf [Verified 19 November 2016]
Uusitalo L, Lehikoinen A, Helle I, Myrberg K (2015) An overview of methods to evaluate uncertainty of deterministic models in decision support. Environmental Modelling & Software 63, 24–31.
| An overview of methods to evaluate uncertainty of deterministic models in decision support.Crossref | GoogleScholarGoogle Scholar |
Wall E, Simm G, Moran D (2010) Developing breeding schemes to assist mitigation of greenhouse gas emissions. Animal 4, 366–376.
| Developing breeding schemes to assist mitigation of greenhouse gas emissions.Crossref | GoogleScholarGoogle Scholar |
