Paraguay's Sources of N2O Emissions
Key Insights
Agriculture Dominates Paraguay’s N2O
Agriculture accounts for well over 90% of Paraguay's nitrous oxide emissions, making it the decisive driver of the country's N2O warming impact. Over time, cumulative agricultural emissions add up to roughly 400 megatonnes, and today this source alone contributes around 6% of Paraguay's overall greenhouse‑gas warming impact.
Mid‑Century Rise, Recent Easing
From modest levels before the mid‑20th century, agricultural emissions rose steadily through the post‑war era, then accelerated from the late 1980s. They reached a high point in recent years near 9.5 megatonnes before easing to around 8 megatonnes in the early 2020s. The long‑term pattern is a sustained rise with some fluctuation, and a recent leveling slightly below the peak.
Small but Gradually Growing Others
Non‑agricultural sources-energy, waste, and other-remain minor by comparison. Energy has edged up over decades to only a few‑tenths of a megatonne, waste has increased slowly to well under 0.1 megatonnes, and "other" sources have climbed since the 1960s but remain small. Industry is negligible in both history and current levels.
What Matters Next
Given agriculture's dominance and still‑elevated levels, the current trajectory suggests stabilization rather than decline. Meaningful reductions in national N2O will depend on reversing the long‑running rise in agricultural emissions; improvements in smaller sectors can help, but their impact will be limited unless agriculture turns 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 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 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.