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🇱🇾 Libya's Sources of CO₂ Emissions

Libya's Sources of CO2 Emissions

✨ Key Insights

Oil Discovery and Emission Surge

The discovery of significant oil reserves in Libya in 1959 marked a pivotal moment in the country's economic and environmental history. This event catalyzed a surge in CO2 emissions as Libya rapidly expanded its oil extraction and exportation activities. The oil industry became a cornerstone of Libya's economy, leading to increased fossil fuel consumption and a corresponding rise in CO2 emissions. This trend continued into the 1960s, particularly after Muammar Gaddafi's rise to power in 1969, which further intensified oil production and exportation.

Impact of Conflicts on Emissions

Libya's CO2 emissions have been significantly influenced by periods of conflict. The US bombing of Libya in 1986 temporarily disrupted oil production, leading to a short-term decrease in emissions. However, the most notable impact came during the Libyan Civil War in 2011 and the Second Libyan Civil War in 2014. These conflicts caused substantial disruptions to oil production, resulting in temporary decreases in CO2 emissions. The shutdown of oil facilities during these periods led to a marked reduction in fossil fuel-related emissions, highlighting the direct impact of geopolitical events on environmental metrics.

Recent Trends and Fluctuations

In recent decades, Libya's CO2 emissions have experienced fluctuations due to both internal and external factors. The data indicates a significant decrease in oil-related emissions in 2020, likely linked to global events affecting oil demand and production. Despite these fluctuations, oil remains the dominant source of CO2 emissions in Libya, underscoring the country's continued reliance on fossil fuels. The interplay between political events and emission trends in Libya provides a compelling narrative of how geopolitical dynamics can shape environmental outcomes.

Background

The chart shows a national breakdown by source of the yearly CO2 emissions from human activities and processes expressed in megatonnes. It is critical to know and track the sources of national CO2 emissions in order to understand their individual impacts on climate change.

The sources of human CO2 emissions are

  • CO2 From Fossil Fuels and Industry: coal, oil, gas combustion, other fossil processes
  • CO2 From Land-Use, Land-Use Change, and Forestry

Coal, oil and gas combustion

Fossil fuel CO2 emissions from the combustion of coal, oil and gas are emitted by processes in electricity generation, transport, industry, and the building sector. All processes can be linked to human activities. Examples include driving cars with combustion engines burning diesel or gas, or electric cars charged by electricity from a power plant that burns coal.

Other fossil processes

Fossil CO2 emissions from other processes include sources like cement manufacturing and production of chemicals and fertilizers. Cement also has an absorption factor highlighted in the absorption breakdown chart.

Land-use change

Human civilization emits CO2 by changing and managing its land. Those emissions come, for example, from deforestation, logging, forest degradation, harvest activities and shifting agriculture cultivation. Land-use change also absorbs considerable amounts of CO2, which is shown in the absorption breakdown chart. Land-use change emits more than it absorbs, so the net effect is still emissions, but less than for coal, oil and gas.

Wikipedia: Greenhouse Gas Emissions
Earth System Science Data: GCP 2020 paper: Section 2.2 Land-use change; Section 2.1 Fossil fuel emissions
IPCC: Annual Report 6, 5.2.1.1 Anthropogenic CO2 emissions

Units and Measures

CO2 emissions are expressed in the total weight in megatonnes per year. 1 Megatonne is equal to 1 million tonnes.

Wikipedia: Megatonne
Wikipedia: Global warming potential

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About the Data

The last available year is 2023. CO2 emissions data is from the Global Carbon Project. It contains national CO2 emissions from fossil sources and land-use change.

The Key Insights paragraph was generated using a large language model (LLM) using a structured approach to improve the accuracy. This included separating the context generation from the interpretation and narrative.

Data Sources

Global Carbon Budget 2024 Global Carbon Budget
Update cycle: yearlyDelay: ~ 10 months after the end of the year. Current year values are estimated and published in November.Credits: Friedlingstein et al., 2024, ESSD. Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Landschützer, P., Le Quéré, C., Li, H., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Arneth, A., Arora, V., Bates, N. R., Becker, M., Bellouin, N., Berghoff, C. F., Bittig, H. C., Bopp, L., Cadule, P., Campbell, K., Chamberlain, M. A., Chandra, N., Chevallier, F., Chini, L. P., Colligan, T., Decayeux, J., Djeutchouang, L., Dou, X., Duran Rojas, C., Enyo, K., Evans, W., Fay, A., Feely, R. A., Ford, D. J., Foster, A., Gasser, T., Gehlen, M., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Heinke, J., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarníková, T., Jersild, A., Jiang, F., Jin, Z., Kato, E., Keeling, R. F., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Lauvset, S. K., Lefèvre, N., Liu, Z., Liu, J., Ma, L., Maksyutov, S., Marland, G., Mayot, N., McGuire, P., Metzl, N., Monacci, N. M., Morgan, E. J., Nakaoka, S.-I., Neill, C., Niwa, Y., Nützel, T., Olivier, L., Ono, T., Palmer, P. I., Pierrot, D., Qin, Z., Resplandy, L., Roobaert, A., Rosan, T. M., Rödenbeck, C., Schwinger, J., Smallman, T. L., Smith, S., Sospedra-Alfonso, R., Steinhoff, T., Sun, Q., Sutton, A. J., Séférian, R., Takao, S., Tatebe, H., Tian, H., Tilbrook, B., Torres, O., Tourigny, E., Tsujino, H., Tubiello, F., van der Werf, G., Wanninkhof, R., Wang, X., Yang, D., Yang, X., Yu, Z., Yuan, W., Yue, X., Zaehle, S., Zeng, N., and Zeng, J.: Global Carbon Budget 2024, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-519, in review, 2024.