Project Details
Description
The performance of agroforestry is highly context-dependent. Several issues hinder large-scale adoption, such as lack of a conclusive regulatory framework. In addition, tools are lacking to reliably assess the economic, environmental and social assets of agroforestry, and to use these insights for smart design and optimal management of agroforestry systems. Tools to monitor and adjust the impact of policy measures are also still largely non-existent. Addressing that gap could give agroforestry a strong boost.
Research approach
DigitAF brings together expertise from across Europe to overcome these bottlenecks and accelerate the implementation of agroforestry in practice. The common thread throughout the project is to make existing and new decision-support tools and models more accessible. The tools must be open-source, user-friendly and relevant to practice. Therefore, the consortium partners will ensure that the DigitAF tools will continue to be used after the project ends: open source and fully reusable code and data will be the norm.
Relevance/Valorisation
To ensure practical relevance, Living Labs of agroforestry farmers and other stakeholders are also launched in six European countries. They will identify local needs, knowledge gaps and lack of tools. The existing Agroforestry Flanders network of thematic action clusters will regularly coordinate with the Dutch Living Lab in this respect.
Specifically for farmers and their advisors, DigitAF will provide tools to help them optimally design and manage agroforestry systems at field and farm scale. This will include tools to assess, quantify and valorise the economic, environmental and social performance and benefits of agroforestry. Finally, DigitAF is committed to informing and supporting regional, national and European policy actors so that they can implement more effective, enabling policies.
EU Horizon2020
| Acronym | DIGITAF |
|---|---|
| Status | Active |
| Effective start/end date | 1/07/22 → 30/06/26 |
| Links | https://www.agroforestryvlaanderen.be/nl/projecten/digitaf-digital-tools-to-help-agroforestry-meet-climate-biodiversity-and-farming-sustainability-goals-linking-field-and-cloud |
Data Management Plan flag for FRIS
- DMP present
Fingerprint
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Agroforlight: 3D light distribution modelling in agroforestry systems using high-resolution tree LiDAR scans: Agroforestry Systems
De Swaef, T., Coudron, W., Baeyens, T., Calders, K., Lootens, P., Pardon, P., Reubens, B., Van Den Berge, S., De Frenne, P. & Verheyen, K., 2025, In: Agroforestry Systems. 99, 5Research output: Contribution to journal › Article › peer-review
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Gewasopbrengst in jonge silviculturele alley cropping systemen
Pardon, P., Reubens, B. & Carton, S., 28-Feb-2024Research output: Book/Report › Report
Open Access -
Handboek Agroforestry in Vlaanderen 2014 - 2024: Leidraad na 10 jaar Onderzoek en Praktijkwerking
Reubens, B., Van Colen, W., Tallieu, R. & Carton, S., 2024Research output: Book/Report › Report
Open Access
Datasets
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DENTRO DATASET 2025
Carton, S. (Creator), Van Daele, S. (Creator), Reubens, B. (Contributor), Pardon, P. (Contributor) & Bracke, J. (Contributor), Zenodo, 20-Jun-2025
Dataset
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DENTRO Tree Matrix: dataset behind DENTRO - a Tree Species Selection Guide for Agroforestry
Reubens, B. (Creator), Van Daele, S. (Creator), Bracke, J. (Creator), Pardon, P. (Creator), Rahahleh, J. (Creator) & Carton, S. (Creator), Zenodo, 2024
Dataset
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Dataset Belgian companies Agroforestry map
Carton, S. (Creator), Huebner, R. (Creator) & De Streel, G. (Data Collector), Zenodo, 16-Dec-2025
Dataset