Training Course Brings Together Six Countries in Costa Rica to Strengthen Capacities and Regional Cooperation
Heredia, Costa Rica - 7 to 10 October 2025
Representatives from six countries of the Central American Integration System (SICA) participated in a training workshop under the project “Strengthening Greenhouse Gas (GHG) Emission Quantification in the Agricultural Sector of the SICA Region” in Heredia. The project seeks to improve the quality of national inventories and strengthen regional technical cooperation in climate action. This project is funded through the New Zealand Government’s Climate Smart Agriculture Initiative, as part of its contribution to the Global Research Alliance on Agricultural Greenhouse Gases (GRA).
The workshop, held from October 7 to 10, brought together 11 technical specialists from Costa Rica, El Salvador, Guatemala, Honduras, Panama, and the Dominican Republic. Participants engage in theoretical, practical, and collaborative sessions focused on applying the Intergovernmental Panel on Climate Change (IPCC) Guidelines for estimating agricultural emissions.
Participants from the six countries who took part in the training
Technical Training and Practical Learning
Throughout the four-day programme, participants explored the main methodologies and tools from the 2006 IPCC Guidelines, including the structure and source categories of the agriculture sector, Tier 1 and Tier 2 estimation approaches, and procedures for calculating emissions from manure management, fertiliser use, enteric fermentation, and agricultural liming.
In addition, the programme strengthened the network of technical collaboration among participating countries and lays the groundwork for establishing a Regional Community of Practice on Agricultural GHG Inventories. This ongoing community is a permanent platform for knowledge exchange, coordination, and mutual support.
Subsequently, a phase of technical support will begin, providing direct assistance to countries in implementing IPCC methodologies in their national inventories. The objective is to improve data comparability and quality across the region.
