Data & Tools
Agroecology plays an important role in contributing to the eradication of hunger and extreme poverty, and as a means to facilitate the transition to more productive, sustainable and inclusive food systems. Creating a greater awareness of agroecology and its advantages is an important step to help policy-makers, farmers and researchers to apply this approach to achieve a world without hunger.
The database provides a starting point to organize the existing knowledge on agroecology, collecting articles, videos, case studies, books and other important material in one place. The objective is to support policy-makers, farmers, researchers and other relevant stakeholders through knowledge exchange and knowledge transfer. The database is a ‘living process’ that is constantly being updated.
GLEAM-interactive (GLEAM-i) brings the core functionalities of the FAO Global Livestock Environmental Assessment Model to the public in a single Excel file. GLEAM-i is the first open, user-friendly and livestock specific tool designed to support governments, project planners, producers, industry and civil society organizations to calculate emissions using Tier 2 methods. GLEAM-i can be used in the preparation of national inventories and in ex-ante project evaluation for the assessment of intervention scenarios in animal husbandry, feed and manure management.
[download user guide]
The current geographic distributions (available at least at country level and in some cases at subnational level) of about 8800 livestock breeds, as recorded in the Domestic Animal Diversity Information System (DAD-IS), are being used to model suitable areas for breeds under current and expected future conditions, taking several temperature and humidity parameters into account (i.e. maximum temperature of warmest month, minimum temperature of coldest month, annual precipitation, precipitation seasonality measured as coefficient of variation, mean temperature of wettest month and of driest month).
To predict areas suitable under future environmental conditions, users have the option to choose among severalclimate change models (e.g. the Hadley Global Environment Model 2 – Earth System https://verc.enes.org/models/earthsystem-models/metoffice-hadley-centre/hadgem2-es) and four “scenarios” (the so-called representative concentration pathways - http://sedac.ipcc-data.org/ddc/ar5_scenario_process/RCPs.html) representing a range from optimistic [RCP 2.6] to rather pessimistic [RCP 8.5] constellations).
The FAOSTAT Emissions Agriculture database provides country-level estimates of greenhouse gas (GHG) emissions based on FAOSTAT activity data and using Tier 1 computations, following 2006 Intergovernmental Panel on Climate Change (IPCC) Guidelines for National Greenhouse Gas Inventories. Technical details of specific activity data used and relevant computational steps employed are given in the Methodology and Quality Information section of the metadata for each of the sectors in the domain.