A Network-Based Method to Detect Patterns of Local Crop Biodiversity: Validation at the Species and Infra-Species Levels CINVESTAV-IPN - Université Pierre et Marie Curie Accéder directement au contenu
Article Dans Une Revue Advances in Ecological Research Année : 2015

A Network-Based Method to Detect Patterns of Local Crop Biodiversity: Validation at the Species and Infra-Species Levels CINVESTAV-IPN

Oliver T. Coomes
  • Fonction : Auteur
  • PersonId : 968826
Bhuwon Sthapit
  • Fonction : Auteur
Ram Bahadur Rana
  • Fonction : Auteur
Luis Manuel Arias-Reyes
  • Fonction : Auteur
Paola de Santis
  • Fonction : Auteur

Résumé

Abstract In this chapter, we develop new indicators and statistical tests to characterize patterns of crop diversity at local scales to better understand interactions between ecological and socio-cultural functions of agroecosystems. 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—following a nestedness pattern typical of mutualistic networks in ecology—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. We develop new network-based approaches to characterize the distribution of local crop diversity (species and infra-species) at the village level and to validate these approaches using meta-datasets from 10 countries. 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 agro-ecological 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.
Fichier principal
Vignette du fichier
Thomas - unsubmitted - 2015 - network-based_method_20150631.pdf (649.55 Ko) Télécharger le fichier
Loading...

Dates et versions

hal-02799313 , version 2 (06-01-2020)
hal-02799313 , version 1 (05-06-2020)

Identifiants

Citer

Mathieu Thomas, Nicolas Verzelen, Pierre Barbillon, Oliver T. Coomes, Sophie Caillon, et al.. A Network-Based Method to Detect Patterns of Local Crop Biodiversity: Validation at the Species and Infra-Species Levels CINVESTAV-IPN. Advances in Ecological Research, 2015, Ecosystem Services From Biodiversity to Society, Part 1, ⟨10.1016/bs.aecr.2015.10.002⟩. ⟨hal-02799313v2⟩
822 Consultations
213 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More