Combinatorial maps, a new framework to model agroforestry systems

Lemière Laëtitia, Jaeger Marc, Gosme Marie, Subsol Gérard. 2023. Combinatorial maps, a new framework to model agroforestry systems. Plant Phenomics, 5:0120, 10 p.

https://doi.org/10.34133/plantphenomics.0120

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total

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Url - autres données associées : https://github.com/agroforestar/carte_combinatoire

Résumé : Agroforestry systems are complex due to the diverse interactions between their elements, and they develop over several decades. Existing numerical models focus either on the structure or on the functions of agroforestry systems. However, both of these aspects are necessary, as function influences structure and vice versa. Here, we present a representation of agroforestry systems based on combinatorial maps (which are a type of multidimensional graphs), that allows conceptualizing the structure–function relationship at the agroecosystem scale. We show that such a model can represent the structure of agroforestry systems at multiple scales and its evolution through time. We propose an implementation of this framework, coded in Python, which is available on GitHub. In the future, this framework could be coupled with knowledge based or with biophysical simulation models to predict the production of ecosystem services. The code can also be integrated into visualization tools. Combinatorial maps seem promising to provide a unifying and generic description of agroforestry systems, including their structure, functions, and dynamics, with the possibility to translate to and from other representations.

Mots-clés Agrovoc : agroforesterie, systèmes agroforestiers, services écosystémiques, cartographie, agroécosystème, modèle de simulation

Agences de financement hors UE : Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Agence Nationale de la Recherche

Projets sur financement : (FRA) Institut Convergences en Agriculture Numérique

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