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dc.contributor.authorGonzález Chaves, Adrian-
dc.contributor.authorCarvalheiro, Luísa G.-
dc.contributor.authorGaribaldi, Lucas Alejadnro-
dc.contributor.authorMetzger, Jean Paul-
dc.date.accessioned2021-12-02T13:04:16Z-
dc.date.available2021-12-02T13:04:16Z-
dc.date.issued2021-11-15-
dc.identifier.citationGonzález Chaves A, Carvalheiro L, Garibaldi LA y Metzger JP (2021) Positive forest cover effects on coffee yields are consistent across regions. Journal of Applied Ecology.es_ES
dc.identifier.issn1365-2664es_ES
dc.identifier.issn0021-8901es_ES
dc.identifier.otherhttps://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2664.14057es_ES
dc.identifier.urihttp://rid.unrn.edu.ar/handle/20.500.12049/8102-
dc.description.abstractEnhancing biodiversity-based ecosystem services can generate win–win opportunities for conservation and agricultural production. Pollination and pest control are two essential agricultural services provided by mobile organisms, many depending on native vegetation networks beyond the farm scale. Many studies have evaluated the effects of landscape changes on such services at small scales. However, several landscape management policies (e.g. selection of conservation sites) and associated funding allocation occur at much larger spatial scales (e.g. state or regional level). Therefore, it is essential to understand whether the links between landscape, ecosystem services and crop yields are robust across broad and heterogeneous regional conditions. Here, we used data from 610 Brazilian municipalities within the Atlantic Forest region (~50 Mha) and show that forest is a crucial factor affecting coffee yields, regardless of regional variations in soil, climate and management practices. We found forest cover surrounding coffee fields was better at predicting coffee yields than forest cover at the municipality level. Moreover, the positive effect of forest cover on coffee yields was stronger for Coffea canephora, the species with higher pollinator dependence, than for Coffea arabica. Overall, coffee yields were highest when they were near to forest fragments, mostly in landscapes with intermediate to high forest cover (>20%), above the biodiversity extinction threshold. Coffee cover was the most relevant management practice associated with coffee yield prediction. An increase in crop area was associated with a higher yield, but mostly in high forest covers municipalities. Other localized management practices like irrigation, pesticide use, organic manure and honeybee density had little importance in predicting coffee yields than landscape structure parameters. Neither the climatic or topographic variables were as relevant as forest cover at predicting coffee yields. Synthesis and application. Our work provides evidence that landscape relationships with ecosystem service provision are consistent across regions with different agricultural practices and environmental conditions. These results provide a way in which landscape management can articulate small landscape management with regional conservation goals. Policies directed towards increasing landscape interspersion of coffee fields with forest remnants favour spillover process, and can thus benefit the provision of biodiversity-based ecosystem services, increasing agricultural productivity. Such interventions can generate win–win situations favouring biodiversity conservation and increased crop yields across large regions.es_ES
dc.language.isoenes_ES
dc.publisherBritish Ecological Societyes_ES
dc.relation.urihttps://besjournals.onlinelibrary.wiley.com/journal/13652664es_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/-
dc.titlePositive forest cover effects on coffee yields are consistent across regionses_ES
dc.typeArticuloes_ES
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)-
dc.description.filiationFil: González Chaves, Adrian. Universidade de São Paulo. Instituto de Biociência. Departamento de Ecologia. Brasil.es_ES
dc.description.filiationFil: Carvalheiro, Luísa G. Universidade de Lisboa. Centre for Ecology, Evolution and Environmental Changes. Faculdade de Ciencias. Portugal.es_ES
dc.description.filiationFil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.es_ES
dc.description.filiationFil: Garibaldi, Lucas A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.es_ES
dc.description.filiationFil: Metzger, Jean Paul. Universidade de São Paulo. Instituto de Biociência. Departamento de Ecologia. Brasil.es_ES
dc.subject.keywordCoffee Productiones_ES
dc.subject.keywordEcosystem Service Supply and Demandes_ES
dc.subject.keywordForest Coveres_ES
dc.subject.keywordLandscape Configurationes_ES
dc.subject.keywordMultiscale Analysises_ES
dc.subject.keywordPest Controles_ES
dc.subject.keywordPollination Servicees_ES
dc.subject.keywordStingless Beeses_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.materiaAgricultura (General)es_ES
dc.subject.materiaBiodiversidad y Conservaciónes_ES
dc.subject.materiaEcologíaes_ES
dc.origin.lugarDesarrolloUniversidade de São Pauloes_ES
dc.description.reviewtruees_ES
dc.description.resumen-es_ES
dc.identifier.doihttps://doi.org/10.1111/1365-2664.14057-
dc.relation.journalTitleJournal of Applied Ecologyes_ES
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