NETSEED : a cross-disciplinary project to analyse how small farms contribute to global agrobiodiversity
Mathieu Thomas  1, 2@  , Doyle McKey  3@  , Sophie Caillon  4@  , François Massol  5@  , Nicolas Verzelen  6@  , Pierre Barbillon  7@  , Netseed Consortium@
1 : Génétique Quantitative et Evolution - Le Moulon  (GQE - Le Moulon)
Institut National de la Recherche Agronomique - INRA (FRANCE)
Ferme du Moulon, 91190 Gif-sur-Yvettes, France -  France
2 : Amélioration Génétique et Adaptation des Plantes Méditerranéeennes et Tropicales  (AGAP)  -  Website
Montpellier SupAgro, Institut national de la recherche agronomique (INRA) : UMR1334, CIRAD-BIOS
TA A-108/03-Avenue Agropolis, 34398 Montpellier Cedex 5 -  France
3 : Centre d'écologie fonctionnelle et évolutive  (CEFE)  -  Website
CNRS : UMR5175, Université Montpellier II - Sciences et techniques, Université Montpellier I, Université Paul Valéry - Montpellier III, École Pratique des Hautes Études [EPHE]
Campus CNRS - 1919 route de Mende - 34293 Montpellier cedex 5 -  France
4 : Centre d'écologie fonctionnelle et évolutive  (CEFE)  -  Website
Université Paul Valéry - Montpellier III, Université Montpellier I, Université Montpellier II - Sciences et Techniques du Languedoc, CIRAD : UMR101, CNRS : UMR5175, Ecole Pratique des Hautes Etudes, Montpellier SupAgro
CEFE 1919 Route de Mende 34293 MONTPELLIER CEDEX 5 -  France
5 : Evolution-Ecologie-Paléontologie  (EEP)  -  Website
CNRS : UMR8198, Université Lille I - Sciences et technologies
Batiment SN2 59655 VILLENEUVE D ASCQ CEDEX -  France
6 : Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie  (MISTEA)
Institut national de la recherche agronomique (INRA) : UMR0729
INRA 2, place Viala F-34060 Montpellier Cedex 1 -  France
7 : Mathématiques, Informatique Appliquées  (MIA)
AgroParisTech, Institut national de la recherche agronomique (INRA) : UMR0518
16 rue Claude Bernard, 75005 Paris -  France

Farms, where a large number of crops (species or landraces) is grown, are known to contribute a large part of the locally available diversity of both rare and common crops but the role of farms with low diversity remains little understood: do they grow only common varieties or do ‘crop–poor' farmers also grow rare varieties? This question is pivotal in ongoing efforts to assess the local-scale contribution of small farms to global agrobiodiversity. During the NETSEED project, we developed new network-based approaches to characterize the distribution of local crop diversity (species and infra-species) at the village level and we validated these approaches using meta-datasets from 10 countries (50 datasets). Our results highlight the sources of heterogeneity in crop diversity at the village level. We often identify two or more groups of farms based on their different levels of diversity. In some datasets, ‘crop–poor' farms significantly contribute to the local crop diversity. Generally, we find that the distribution of crop diversity is more heterogeneous at the species than at the infra-species level. This analysis reveals the absence of a general pattern of crop diversity distribution, suggesting strong dependence on local agroecological and socio-cultural contexts. These different patterns of crop diversity distribution reflect an heterogeneity in farmers' self-organized action in cultivating and maintaining local crop diversity, which ensures the adaptability of agroecosystems to global change.


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