Timor-Leste's Sources of N2O Emissions
✨ Key Insights
Agricultural Emissions Dominate
Throughout the decades, Timor-Leste's N₂O emissions have been predominantly driven by agriculture. This sector has consistently contributed the largest share of emissions, with a notable increase in the 20th century. The 1990s saw a significant dip in agricultural emissions, likely linked to the turmoil following the East Timor Independence Referendum in 1999, which disrupted agricultural practices. However, emissions rebounded in the early 2000s as the country stabilized and agricultural activities resumed.
Energy and Waste Contributions
While agriculture remains the primary source, emissions from energy and waste have gradually increased. The development of the oil and gas sector in the early 2000s introduced a new source of emissions, albeit on a smaller scale compared to agriculture. The expansion of agriculture in 2012 further contributed to the rise in emissions, particularly from the use of fertilizers. Waste management practices have also evolved, leading to a steady increase in emissions from this sector over the decades.
Minimal Industrial Impact
Interestingly, industrial emissions have remained negligible throughout Timor-Leste's history. This is reflective of the country's limited industrial activities, which have not significantly contributed to N₂O emissions. The focus on agriculture and energy sectors highlights the areas where emissions management efforts could be most impactful in the future.
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.