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dc.contributor.author
de Souza, Jana M. T.
dc.contributor.author
Vazquez, Diego P.
dc.contributor.author
Varassin, Isabela G.
dc.date.available
2023-09-15T13:05:10Z
dc.date.issued
2022-03
dc.identifier.citation
de Souza, Jana M. T.; Vazquez, Diego P.; Varassin, Isabela G.; Abundance and phenology drive plant–pollinator network responses to restoration in the Southern Atlantic rainforest in Brazil; Wiley Blackwell Publishing, Inc; Restoration Ecology; 30; 5; 3-2022; 1-11
dc.identifier.issn
1061-2971
dc.identifier.uri
http://hdl.handle.net/11336/211631
dc.description.abstract
Ecological restoration has been increasingly considering biotic interactions. Different restoration strategies usually rely on different composition and abundance of plants with potential impact on the establishment of plant–pollinator interactions. We evaluated the restoration of plant–pollinator interaction networks in young restoration areas in the South Atlantic rainforest, Brazil. We assessed the relative contribution of two restoration strategies (natural regeneration vs. reforestation), geographic distance, plant composition, pollinator composition, abundance of flowers and insects, and plant–pollinator temporal overlap, that is, phenological coupling, to predict the establishment of pairwise interactions. We expected that restoration strategies would indirectly affect the patterns (identity and frequency) of pairwise interactions due to their influence on the processes driving interactions. We sampled monthly pollinators and the plants they visited on six reforestation sites and six natural regeneration sites during 20 months. We surveyed flower abundance in summer. We analyzed the relative contribution of each factor to predict the identity and frequency of pairwise interactions using structural equation modeling. Contrary to expectations, the restoration strategy did not predict interactions, probably because the sites under restoration were surrounded by natural and conserved landscapes. Since we found no effect of restoration strategies on plant composition, abundance, and phenological coupling, the restoration strategy did not predict interactions. Phenological coupling explained more than half of the interaction patterns, representing the best predictor of interactions followed by abundance and plant composition. Therefore, these predictors should be considered to select plant species in restoration projects that encompass interactions and pollination services.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley Blackwell Publishing, Inc
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
INTERACTIONS
dc.subject
NATURAL REGENERATION
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PHENOLOGICAL COUPLING
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POLLINATION
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POST-DISTURBANCE
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REFORESTATION
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STRUCTURAL EQUATION MODELING
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TROPICAL ECOSYSTEM
dc.subject.classification
Ecología
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Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Abundance and phenology drive plant–pollinator network responses to restoration in the Southern Atlantic rainforest in Brazil
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-04T14:23:08Z
dc.journal.volume
30
dc.journal.number
5
dc.journal.pagination
1-11
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: de Souza, Jana M. T.. Universidade Federal do Paraná; Brasil
dc.description.fil
Fil: Vazquez, Diego P.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
dc.description.fil
Fil: Varassin, Isabela G.. Universidade Federal do Paraná; Brasil
dc.journal.title
Restoration Ecology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/rec.13588
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