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

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cg.authorship.typesCGIAR and developing country institute
cg.contributor.affiliationBioversity International
cg.contributor.affiliationLocal Initiatives for Biodiversity, Research and Development
cg.contributor.affiliationWashington State University
cg.contributor.affiliationCentre de Coopération Internationale en Recherche Agronomique Pour le Développement
cg.contributor.affiliationCentre National de la Recherche Scientifique, France
cg.contributor.affiliationMcGill University
cg.contributor.affiliationUniversité de Montpellier
cg.contributor.affiliationInstitut Universitaire de France
cg.contributor.affiliationInstitut national de la recherche agronomique, France
cg.contributor.affiliationInstituto Tecnologico de Conkal, Mexico
cg.contributor.crpWater, Land and Ecosystems
cg.identifier.doihttps://doi.org/10.1016/bs.aecr.2015.10.002
cg.isbn978-0-12-803885-7
cg.issn0065-2504
cg.journalAdvances in Ecological Research
cg.placeAmsterdam, the Netherlands
cg.subject.bioversityCROPS
cg.subject.bioversityBIODVERSITY
cg.subject.bioversitySOCIO-CULTURAL ENVIRONMENT
cg.subject.bioversityFARMERS
cg.subject.bioversityNETWORKS
cg.subject.bioversityAGROECOSYSTEMS
cg.volume53
dc.contributor.authorThomas, M.
dc.contributor.authorVerzelen, N.
dc.contributor.authorBarbillon, P.
dc.contributor.authorCoomes, O.T.
dc.contributor.authorCaillon, S.
dc.contributor.authorMcKey, D.
dc.contributor.authorElias, Marlène
dc.contributor.authorGarine, E.
dc.contributor.authorRaimond, C.
dc.contributor.authorDounias, E.
dc.contributor.authorJarvis, D.
dc.contributor.authorWencelius, J.
dc.contributor.authorLeclerc, Christian
dc.contributor.authorLabeyrie, V.
dc.contributor.authorPham Hung Cuong
dc.contributor.authorNguyen Thi Ngoc Hue
dc.contributor.authorSthapit, B.R.
dc.contributor.authorRana, R.B.
dc.contributor.authorBarnaud, Adéline
dc.contributor.authorViolon, C.
dc.contributor.authorArias Reyes, L.M.
dc.contributor.authorLatournerie Moreno, L.
dc.contributor.authorSantis, P. de
dc.contributor.authorMassol, F.
dc.date.accessioned2016-02-05T13:36:36Zen
dc.date.available2016-02-05T13:36:36Zen
dc.identifier.urihttps://hdl.handle.net/10568/70610
dc.titleA network-based method to detect patters of local crop biodiversity: validation at the species and infr-species levelsen
dcterms.abstractIn 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.en
dcterms.accessRightsLimited Access
dcterms.audienceScientists
dcterms.bibliographicCitationThomas, 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: 978-0-12-803885-7en
dcterms.extentp. 259-320
dcterms.issued2015
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherElsevier
dcterms.subjectcropsen
dcterms.subjectbiodversityen
dcterms.subjectsocio-cultural environmenten
dcterms.subjectfarmersen
dcterms.subjectnetworksen
dcterms.subjectagroecosystemsen
dcterms.typeBook Chapter

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