Samoa's Sources of N2O Emissions
Key Insights
Agricultural Emissions Dominate
Samoa's N2O emissions have been predominantly driven by agriculture, which has consistently been the largest contributor over the decades. The agricultural sector's emissions saw a steady increase from the mid-20th century, peaking in the 2010s. This trend aligns with historical events such as the German colonial administration and New Zealand's occupation, which intensified agricultural activities. However, recent years have shown a slight decline, possibly due to initiatives aimed at sustainable land management.
Energy Sector's Gradual Rise
The energy sector, while historically a minor contributor to N2O emissions, has shown a gradual increase since the late 20th century. This rise is likely linked to Samoa's development and increased energy consumption. The launch of renewable energy initiatives in 2015 marks a pivotal moment, aiming to curb emissions by reducing reliance on fossil fuels. This shift is expected to mitigate the energy sector's impact on overall emissions.
Impact of Natural Disasters
Natural disasters, such as Cyclones Ofa and Val in the early 1990s, have had a notable impact on Samoa's emissions. These events caused significant deforestation and land degradation, temporarily increasing emissions due to biomass loss. The 2009 earthquake and tsunami further contributed to emissions through reconstruction activities. While these events are not directly quantified in the data, their influence on emissions trends is evident.
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.