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A network-based method to detect patters of local crop biodiversity: validation at the species and infr-species levels

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Title A network-based method to detect patters of local crop biodiversity: validation at the species and infr-species levels
 
Creator Thomas, M.
Verzelen, N.
Barbillon, P.
Coomes, O.T.
Caillon, S.
McKey, D.
Elias, Marlène
Garine, E.
Raimond, C.
Dounias, E.
Jarvis, D.
Wencelius, J.
Leclerc, Christian
Labeyrie, V.
Pham Hung Cuong
Nguyen Thi Ngoc Hue
Sthapit, B.R.
Rana, R.B.
Barnaud, Adéline
Violon, C.
Arias Reyes, L.M.
Latournerie Moreno, L.
Santis, P. de
Massol, F.
 
Subject crops
biodversity
socio-cultural environment
farmers
networks
agroecosystems
 
Description 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.
 
Date 2015
2016-02-05T13:36:36Z
2016-02-05T13:36:36Z
 
Type Book Chapter
 
Identifier Thomas, M.; Verzelen, N.; Barbillon, P.; Coomes, O.T.; Caillon, S.; McKey, D.; Elias, M.; Garine, E.; Raimond, C.; Dounias, E.; Jarvis, D.; Wencelius, J.; Leclerc, C.; Labeyrie, V.; Pham Hung Cuong; Nguyen Thi Ngoc Hue; Sthapit, B.; Rana, R.B.; Barnaud, A.; Violon, C.; Arias Reyes, L.M.; Latournerie Moreno, L.; De Santis, P.; Massol, F.(2015) A network-based method to detect patters of local crop biodiversity: validation at the species and infra-species levels. In: Ecosystem Services — From Biodiversity to Society, Part 1. (Woodward, G. et al. (eds.)) Advances in Ecological Research 53 p. 259-320 ISBN: 978-0-12-803885-7
978-0-12-803885-7
0065-2504
https://hdl.handle.net/10568/70610
https://doi.org/10.1016/bs.aecr.2015.10.002
 
Language en
 
Rights Copyrighted; all rights reserved
Limited Access
 
Format p. 259-320
 
Publisher Elsevier
 
Source Advances in Ecological Research