🇹🇲 Turkmenistan's Sources of N₂O Emissions

Turkmenistan's Sources of N2O Emissions

Key Insights

Overall Structure And Scale

Turkmenistan's nitrous oxide profile is dominated by agriculture, which accounts for well over 80% of national emissions across the historical record. Industry contributes a little over 10%, while energy, waste, and other sources together remain much smaller. This means the overall national trend largely follows what happens in agriculture, with non‑agricultural sources adding only a modest additional climate impact.

Agricultural Trajectory Over Time

From the late 1950s to the late 1980s, agricultural emissions rose steadily, before a sharp contraction around the early 1990s. Since the mid‑1990s, they have climbed persistently, reaching around 6 megatonnes in recent years-by far the highest on record. This path reflects a transition from earlier stability to rapid growth, a brief downturn, and then a long period of renewed increase that now sets the national trajectory.

Near-Term Outlook And Priorities

The largest sources-agriculture and, to a much lesser extent, industry-are on rising paths. To curb national nitrous oxide emissions, the priority is to halt and reverse the continuing growth in agriculture. Industry's gradual increase warrants attention to prevent further escalation, but the biggest gains will come from bending the agricultural trend downward.

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 oxide
IPCC: 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: Megatonne
Wikipedia: 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 created using a large language model (LLM) in combination with our data, historic events, and a structured approach for best accuracy by 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.

Turkmenistan's Sources of N₂O Emissions