Methodological Difficulties of Conducting Agroecological Studies from a Statistical Perspective

Página do item simplificado
dc.contributor.authorBianconi, Andre [UNESP]
dc.contributor.authorDalgaard, Tommy
dc.contributor.authorManly, Bryan F. J.
dc.contributor.authorGovone, Jose S. [UNESP]
dc.contributor.authorWatts, Michael J.
dc.contributor.authorNkala, Peter
dc.contributor.authorHabermann, Gustavo [UNESP]
dc.contributor.authorHuang, Yanbo
dc.contributor.authorSerapiao, Adriane B. S. [UNESP]
dc.contributor.institutionInt Acad Ecol & Environm Sci
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionAarhus Univ
dc.contributor.institutionWestern EcoSyst Tech Inc
dc.contributor.institutionUniv Adelaide
dc.contributor.institutionNatl Univ Sci & Technol
dc.contributor.institutionAgr Res Serv
dc.date.accessioned2014-12-03T13:11:25Z
dc.date.available2014-12-03T13:11:25Z
dc.date.issued2013-04-01
dc.description.abstractStatistical methods for analyzing agroecological data might not be able to help agroecologists to solve all of the current problems concerning crop and animal husbandry, but such methods could well help them assess, tackle, and resolve several agroecological issues in a more reliable and accurate manner. Therefore, our goal in this article is to discuss the importance of statistical tools for alternative agronomic approaches, because alternative approaches, such as organic farming, should not only be promoted by encouraging farmers to deploy agroecological techniques, but also by providing agroecologists with robust analyses based on rigorous statistical procedures.en
dc.description.affiliationInt Acad Ecol & Environm Sci, Hong Kong, Hong Kong, Peoples R China
dc.description.affiliationUniv Estadual Paulista, UNESP, IGCE, DEMAC Dept Estat Matemat Aplicada & Comp, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationAarhus Univ, Dept Agroecol & Environm, Tjele, Denmark
dc.description.affiliationWestern EcoSyst Tech Inc, Laramie, WY USA
dc.description.affiliationUniv Adelaide, Sch Earth & Environm Sci, Adelaide, SA, Australia
dc.description.affiliationNatl Univ Sci & Technol, Inst Dev Studies, Bulawayo, Zimbabwe
dc.description.affiliationUniv Estadual Paulista, UNESP, Inst Biociencias, Rio Claro, SP, Brazil
dc.description.affiliationAgr Res Serv, USDA, Crop Prod Syst Res Unit, Stoneville, MS USA
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, IGCE, DEMAC Dept Estat Matemat Aplicada & Comp, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Inst Biociencias, Rio Claro, SP, Brazil
dc.format.extent485-506
dc.identifierhttp://dx.doi.org/10.1080/10440046.2012.712941
dc.identifier.citationAgroecology And Sustainable Food Systems. Philadelphia: Taylor & Francis Inc, v. 37, n. 4, p. 485-506, 2013.
dc.identifier.doi10.1080/10440046.2012.712941
dc.identifier.issn2168-3565
dc.identifier.urihttp://hdl.handle.net/11449/113109
dc.identifier.wosWOS:000324655200006
dc.language.isoeng
dc.publisherTaylor & Francis Inc
dc.relation.ispartofAgroecology And Sustainable Food Systems
dc.relation.ispartofjcr1.140
dc.relation.ispartofsjr0,486
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectagroecologyen
dc.subjectmultivariate statisticsen
dc.subjectscale of farmingen
dc.subjectsample sizeen
dc.subjectecological agricultureen
dc.titleMethodological Difficulties of Conducting Agroecological Studies from a Statistical Perspectiveen
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderTaylor & Francis Inc
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Geociências e Ciências Exatas, Rio Claropt

Arquivos

Coleções

Artigos - Estatistica, Matemática Aplicada e Computação - IGCE