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Quantifying GHG Estimations for Agriculture, Waste, and Land Use, land Use Change and Forestry (LULUCF) for a Village Model in India


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1 University of Petroleum and Energy Studies, Bidholi P.O, Dehradun, Uttarakhand-248 007, India
 

This paper describes the sustainability impact assessment by quantifying the GHG estimates from the categories of agriculture, land use, land use change and forestry (LULUCF) and waste, for a semiurban transiting village Bidholi, in the state of Uttarakhand, India. The study quantifies the GHG emission estimates in 2016 from the agricultural sector as 115.71 tons of CO2-eq and waste emissions as 133 tons of CO2-eq. The emissions identified from the various sources are in lieu with the life cycle activities such as crop cultivation, livestock manure management, enteric fermentation and waste generation. The large span of thick forest covering the village, acts as a prominent source of carbon sink sequestering 12205.22 tons net CO2-eq. The carbon stock estimations for the above-ground biomass (ABG), below-ground biomass (BGB) and soil organic content (SOC) are accounted for the forest area in compliance with the country specific national inventory values.

Keywords

Sustainability, LULUCF, Carbon Sink, Ghg Emissions.
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  • Buvanendran V. 1977. Production characteristics of Jersey-Sindhi grades in Sri Lanka. Aust. J. Agric. Res., 28:747-753.
  • Hongmin, Dong and Joe, Mangino 2006. Emissions from livestock and manure management. In: IPCC Guidelines for National Greenhouse Gas Inventories.
  • INCCA (Indian Network for Climate Change Assessment) 2007. Greenhouse Gas Emissions, Ministry of Environment and Forests, Government of India.
  • IPCC, 2006, 2006 IPCC Guidelines for National Greenhouse GasInventories, S. Eggleston, L. Buendia, K. Miwa, T. Ngara, K. Tanabe (eds), published by the Institute for Global Environmental Strategies, Hayama, Japan, on behalf of IPCC, National Greenhouse Gas Inventory Program [available at www.ipcc-nggip.iges.or.jp/public/2006gl/index.html].
  • Jagdish, Kishwan, Rajiv Pandey and Dadhwal, V. K. 2006. India’s forest and tree cover: contribution as a carbon sink. Indian Council of Forestry Research and Education, India.
  • Jens, E. Frøiland Jensen and Riitta Pipatti 2006. Waste. In: IPCC Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories.
  • Johnson, K. A. and Johnson, D. E. 2009. Methane emissions from cattle. Journal of Animal Science, 73(8): 2483-2492.
  • Kaul, M., Dadhwal, V.K. and Mohren, G.M.J. 2009. Land use change and net C flux in Indian forests. Forest Ecology and Management, 258(2): 100-108.
  • Lokupitiya, E. 2016. Country-specific emission factors for methane emission from enteric fermentation: a case study from a nonannex 1 country. Journal of the National Science Foundation of Sri Lanka, 44(2).
  • Padmanabha, S. 2016. GHG platform for national estimates, India. Version 1.0-AFOLU Emissions.
  • Pathak, H., Li, C. and Wassmann, R. 2005. Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model (2005), SRef-ID: 1726-4189/bg/2005-1-1, European Geosciences Union.
  • Penman Jim and Gytarsky Michael 2003. IPCC Good Practice Guidance for Land Use, Land-Use Change and Forestry. IPCC National Greenhouse Gas Inventories Programme, Japan, ISBN 488788-003-0.
  • Riitta, Pipatti and Sharma, Chhemendra 2006. Waste generation, composition and management data. In: IPCC Guidelines for National Greenhouse Gas Inventories, UN, Chapter 2: Volume 5: Waste.
  • Simon Eggleston, Leandro Buendia, IPCC Guidelines for National Green House gas inventories 2006. Intergovernmental panel on climate change, Volume 1: General guidance & Reporting.
  • World Meteorological Organization and the United Nations Environment Programme (revised 1996). Inter Governmental Panel on Climate Change Assessment-IPCC Guidelines for National Greenhouse Gas Inventories, Good Practice Guidance and Uncertainty Management, UN.
  • Ziemer, C.J., Sharp, R., Stern, M.D., Cotta, M.A., Whitehead, T.R. and Stahl, D.A. 2000. Comparison of microbial populations in model and natural rumens using 16S ribosomal RNA-targeted probes. Environmental microbiology, 2(6): 632-643.

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  • Quantifying GHG Estimations for Agriculture, Waste, and Land Use, land Use Change and Forestry (LULUCF) for a Village Model in India

Abstract Views: 156  |  PDF Views: 0

Authors

Philip Simon
University of Petroleum and Energy Studies, Bidholi P.O, Dehradun, Uttarakhand-248 007, India
Gerry George
University of Petroleum and Energy Studies, Bidholi P.O, Dehradun, Uttarakhand-248 007, India
Mainak Mukherjee
University of Petroleum and Energy Studies, Bidholi P.O, Dehradun, Uttarakhand-248 007, India

Abstract


This paper describes the sustainability impact assessment by quantifying the GHG estimates from the categories of agriculture, land use, land use change and forestry (LULUCF) and waste, for a semiurban transiting village Bidholi, in the state of Uttarakhand, India. The study quantifies the GHG emission estimates in 2016 from the agricultural sector as 115.71 tons of CO2-eq and waste emissions as 133 tons of CO2-eq. The emissions identified from the various sources are in lieu with the life cycle activities such as crop cultivation, livestock manure management, enteric fermentation and waste generation. The large span of thick forest covering the village, acts as a prominent source of carbon sink sequestering 12205.22 tons net CO2-eq. The carbon stock estimations for the above-ground biomass (ABG), below-ground biomass (BGB) and soil organic content (SOC) are accounted for the forest area in compliance with the country specific national inventory values.

Keywords


Sustainability, LULUCF, Carbon Sink, Ghg Emissions.

References