Democratic Republic of the Congo's Sources of N2O Emissions
✨ Key Insights
Agricultural Dominance in Emissions
Throughout the decades, the Democratic Republic of the Congo has seen a significant contribution to its N2O emissions from agriculture. This sector has consistently been the largest source of emissions, with its share peaking in the mid-20th century. The increase in agricultural emissions aligns with historical events such as the Congo's independence in 1960, which led to shifts in land management practices. These changes likely influenced the rise in emissions due to altered agricultural activities.
Industrial and Energy Contributions
While agriculture remains the dominant source, emissions from energy and other sectors have gradually increased. The nationalization policies in the 1970s under Mobutu Sese Seko likely spurred industrial activities, contributing to a rise in energy-related emissions. Although industrial emissions remain negligible, the energy sector has shown a steady increase, reflecting the country's growing energy demands.
Impact of Conflict and Deforestation
Periods of conflict, such as the Second Congo War, have exacerbated deforestation, indirectly affecting N2O emissions. The influx of refugees and the need for fuelwood led to significant forest loss, impacting carbon storage. More recently, deforestation for agriculture and oil exploration in regions like Virunga have raised concerns about further emissions increases. These activities highlight the complex interplay between socio-political events and environmental impacts in the DRC.
Background
The chart shows a national breakdown by source of the yearly nitrous oxide (N2O) emissions from human activities and processes, expressed as weight in megatonnes (Mt). Human-induced emissions are the main driver of the increasing atmospheric nitrous oxide that is warming our planet. The sources of human nitrous oxide emissions are
- Agriculture
- Energy
- Industry
- Waste
- Other
Agriculture
Emissions related to agriculture are mainly from the use of synthetic fertilizers and manure management.
Synthetic fertilizer, used for agricultural processes, contains a lot of nitrogen. That nitrogen in the soil reacts and causes considerable N2O emissions. The use of excess fertilizer, meaning more fertilizer than the plants can use to grow, causes even higher relative emissions. Applying the right amount of fertilizer at the right time can reduce N2O emissions. There are many technical solutions to reduce emissions while keeping, or even increasing, agricultural yields.
When manure is left on the field or otherwise managed in dry processes, it emits considerable amounts of nitrous oxide. Manure can be managed by wet processes, which reduces nitrous oxide emissions but increases methane emissions. Some technical solutions focus on modifying the animal feed to reduce the nitrogen in the manure, thereby reducing nitrous oxide emissions.
Energy, Industry, Waste, and Other
All non-agricultural categories together have much lower emissions than agricultural emissions alone.
N2O emissions related to energy are almost all from the combustion of fossil fuels. For example, the combustion of fossil fuels in power plants, cars, and airplanes not only causes CO2 emissions but also emits nitrous oxide (N2O). Any advances to reducing fossil fuel dependency will thus also reduce nitrous oxide emissions.
Most industry-related emissions are from the chemical industry for producing fertilizer, nylon, and similar products. Technologies are available to reduce emissions in these processes.
Nitrous oxide emissions from waste come from, for example, wastewater treatment and landfills.
Wikipedia: Nitrous oxideIPCC: AR6, 5.16 Anthropogenic nitrous oxide (N2O) emissions
Units and Measures
N2O emissions are expressed in the total weight in megatonnes per year. 1 Megatonne is equal to 1 million tonnes.
Wikipedia: MegatonneWikipedia: Global warming potential
About the Data
The last available year in all the emission datasets is 2023. N2O emissions come from the PRIMAP-Hist dataset. It is a rich dataset that combines several published sources to create a historical emissions time series for various greenhouse gases.
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
PRIMAP-hist The PRIMAP-hist national historical emissions time series (1750-2023)
Update cycle: Every few monthsDelay: Less than 1 yearCredits: Gütschow, Johannes; Busch, Daniel; Pflüger, Mika (2024): The PRIMAP-hist national historical emissions time series (1750-2023) v2.6. Zenodo.