Monitoring global agroforestry extent: An analysis of methodological approaches and data sources: Part A

2026

The publication reviews existing approaches to assessing the spatial extent of agroforestry and explores the potential of the FRA Remote Sensing Survey (FRA RSS) as a consistent framework for large-scale monitoring. Current methods, including expert estimates, remote-sensing proxies and national surveys, remain fragmented due to differences in definitions, data sources and observation scales, limiting comparability across countries and over time.

Enabling "Response-ability": A stocktaking of farmer field schools on smallholder forestry and agroforestry

2023

This publication reviews the current and potential application of farmer field schools (FFS) to strengthen the capacities and skills of smallholders and family framers in sustainable forestry and agriculture production. From 2020 to 2021, FAO conducted a stocktaking study to identify opportunities, challenges and lessons learned in the application of the Farmer Field Schools (FFS) approach on forestry and agroforestry.

What have we learned from trees? Three decades of farmer field schools on agroforestry and forestry

2022

Over the last three decades, Farmer Field Schools (FFS) have proven to be an effective discovery-learning-capacity building approach to help rural populations to innovate with more clarity and purpose while building the social skills needed for rural transformation and empowerment.

Policy brief: How can fast-growing trees optimize agroforestry benefits?

2023

This brief provides information on the role of fast-growing trees in agroforestry and the scientific and technical role of the International Commission on Poplars and other Fast Growing Trees sustaining People and the Environment (IPC).

State and Outlook of Agroforestry in ASEAN

2021

This report encapsulates the status of and outlook for agroforestry in the ASEAN countries and endeavours to help achieve the SDGs through more sustainable and productive agri-food systems.