Estimation of Greenhouse Gas Emission and Global Warming Potential of Livestock Sector; Lake District, Türkiye

Abstract

The calling on livestock is increasing fast because of the population and economic broadening. In recent years, the contribution of the livestock sector to greenhouse gas emissions and climate change has been a concern. This sector accounts for the second largest share of anthropogenic greenhouse gas emissions after the energy sector. The storage of animal manure is very important in this respect. Because gases such as nitrous oxide and methane, which are important greenhouse gases, are formed during storage. Therefore, it is very important to focus on this area to make manure management systems sustainable. In this study, greenhouse gas emissions that may occur in the provinces located in the region called Turkey's Lakes Region were estimated using the data on the number of different species of animals published in 2016-2020. Evolution by years has been evaluated on a provincial basis. The global warming potential created by greenhouse gas emissions has been determined. As an animal species in the study; dairy and beef cattle, buffalo, sheep, goat, donkey-mule, meat and laying chicken, turkey, duck, and goose were used. 1567000 tons of CH4 emission has occurred due to the total enteric fermentation of animal origin. The amount of CH4 calculated based on manure management is 22450 tons. The CO2 equivalent amount of CH4 emission due to manure management and enteric fermentation was calculated as 33380500 tons. The total amount of direct and indirect N2O emissions from manure management in 2016-2020 is 12566.10 tons. CO2 emission originating from N2O emission was obtained as 555743.46 tons.

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“…] we obtained: [13] Where: [14] Finally, applying natural logarithm, we arrived at the expression that relates the coe cient β0 to the basal area BA: [15] The basis of the method is the determination of proportional parts of BA for the different classes, which are then used to calculate a correct basal area, distributing the desired level of BA in the respective classes. Then, the chosen basal area is transformed into the number of trees to construct the diameter distribution.…”

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