An estimation of greenhouse gas emission from livestock in Bangladesh

Authors

  • Nani Gopal Das Bangladesh Livestock Research Institute, Savar 1341, Bangladesh
  • Nathu Ram Sarker Bangladesh Livestock Research Institute, Savar 1341, Bangladesh
  • Md Najmul Haque Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh

Keywords:

Livestock category; manure management; methane emission; nitrous oxide

Abstract

Objectives: The study was undertaken to investigate the greenhouse gas (GHG) emission from livestock in Bangladesh.

Materials and Methods: The GHG emission inventory of livestock in Bangladesh was estimated according to the tier 1 approach of the Intergovernmental Panel on Climate Change (IPCC) using livestock population data from 2005 to 2018. It was also extrapolated for the next three decades, according to the growth of the livestock population.

Results: According to the calculation, the GHG emission from livestock was 66,586 Gg/year CO2 equivalent (CO2e) in 2018. This emission may rise to 69,869, 80,618, 94,638, and 113,098 Gg/ year CO2e in 2020, 2030, 2040, and 2050, respectively. The share of enteric methane, manure methane, direct nitrous oxide emission, and indirect nitrous oxide emission in the total GHG emis­sions represented 44.0%, 3.6%, 51.5%, and 0.9%, respectively, in 2018. It may arise at a rate of 1.54%–1.74% annually until 2050.

Conclusion: The GHG inventory may guide professionals to formulate and undertake the effective mitigation measures of GHG emissions from livestock in Bangladesh. However, this inventory can be amended following the tier 2 approach recommended by the IPCC if necessary data are avail­able at the national level.

J. Adv. Vet. Anim. Res., 7(1): 133-140, March 2020

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Published

2020-03-12

How to Cite

Das, N. G., Sarker, N. R., & Haque, M. N. (2020). An estimation of greenhouse gas emission from livestock in Bangladesh. Journal of Advanced Veterinary and Animal Research, 7(1), 133–140. Retrieved from https://banglajol.info/index.php/JAVAR/article/view/46384

Issue

Vol. 7 No. 1 (2020)

Section

Original Articles

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