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dc.contributor.authorCoutinho, Jeferson G.-
dc.contributor.authorGaribaldi, Lucas A.-
dc.contributor.authorFelipe Viana, Blandina-
dc.date.accessioned2019-05-14T11:52:32Z-
dc.date.available2019-05-14T11:52:32Z-
dc.date.issued2018-03-
dc.identifier.citationCoutinho, J. G., Garibaldi, L. A. & Felipe Viana, B. (2018). The influence of local and landscape scale on single response traits in bees: A meta-analysis. Agriculture, Ecosystems & Environment, 256, p.61-73.es_ES
dc.identifier.urihttp://rid.unrn.edu.ar/jspui/handle/20.500.12049/2396-
dc.format.extentp. 61-73es_ES
dc.language.isoenes_ES
dc.titleThe influence of local and landscape scale on single response traits in bees: A meta-analysises_ES
dc.typeArticuloes_ES
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-sa/4.0/es_ES
dc.description.filiationFil: Coutinho, Jeferson G. Universidade Federal da Bahia. Departamento de Zoologia, Instituto de Biologia; Brasil.es_ES
dc.description.filiationFil: Coutinho, Jeferson G. Departamento de Tecnologia em Saúde e Biologia, Instituto Federal de Educação, Ciência e Tecnologia da Bahia; Brasil.es_ES
dc.description.filiationFil: Coutinho, Jeferson G. National Institute of Science and Technology in Interdisciplinary and Transdisciplinary Studies in Ecology and Evolution; Brasil.es_ES
dc.description.filiationFil: Felipe Viana, Blandina. Universidade Federal da Bahia. Departamento de Zoologia, Instituto de Biologia; Brasil.es_ES
dc.description.filiationFil: Felipe Viana, Blandina. National Institute of Science and Technology in Interdisciplinary and Transdisciplinary Studies in Ecology and Evolution; Brasil.es_ES
dc.description.filiationFil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Sede Andina. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural (IRNAD); Argentina.es_ES
dc.subject.keywordBee response traitses_ES
dc.subject.keywordAgricultural intensityes_ES
dc.subject.keywordAvailability resourcees_ES
dc.subject.keywordAbove ground nestinges_ES
dc.subject.keywordSolitary beeses_ES
dc.subject.keywordLandscape complexityes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.origin.lugarDesarrolloInstituto de Biologia, Universidade Federal da Bahia, Salvador, Bahia, Brasiles_ES
dc.relation.journalissue256es_ES
dc.description.reviewtruees_ES
dc.description.resumenAssessments of environmental drivers that regulate the functional composition of various organisms have become more frequent in the ecological literature, as this approach establishes a more direct connection between community structure and ecosystem functions. Bee response traits, such as sociality, body size, nest location, nest behaviour, and dietary specialization, have been reported in empirical studies that examine the role of land use intensity in functional diversity. However, empirical studies include different descriptors measured at different spatial scales, producing poor generalizations. Processes operating at different scales may have different effects depending on the response traits considered in the analysis. In this meta-analysis, we provide a quantitative assessment of the role that the structural complexity of habitats at local and landscape scales plays in the richness and abundance patterns of bees, considering different response traits. As indicated through this meta-analysis, the descriptors of structural complexity at the local scale explained more of the richness and abundance of bees with distinct response traits than the descriptors at the landscape scale. In addition, high management intensity has a negative effect on the different response traits. Below-ground nesting bees and social bees showed different abundance trends, which suggest a mechanism denominated ‘response diversity’. This result suggests that the adoption of hybrid management strategies at the local scale could support the richness and abundance of different bees with distinct response traits in agroecosystems. These distinct response traits can be an important ecological pattern that contributes to the development of management strategies that maintain, in space and time, bees with distinct response traits. However, we should analyse the communities in terms of clusters of response traits, considering the possible synergies and trade-offs between these traits.es_ES
dc.relation.journalTitleAgriculture, Ecosystems & Environmentes_ES
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