dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal de Goiás (UFG)
dc.contributorUniv Sheffield
dc.contributorUniv Fed Rio Grande do Norte
dc.date.accessioned2020-12-10T19:35:51Z
dc.date.accessioned2022-12-19T20:13:43Z
dc.date.available2020-12-10T19:35:51Z
dc.date.available2022-12-19T20:13:43Z
dc.date.created2020-12-10T19:35:51Z
dc.date.issued2019-09-07
dc.identifierJournal Of Ecology. Hoboken: Wiley, v. 108, n. 2, p. 393-404, 2020.
dc.identifier0022-0477
dc.identifierhttp://hdl.handle.net/11449/196174
dc.identifier10.1111/1365-2745.13266
dc.identifierWOS:000485363400001
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5376811
dc.description.abstractThe high diversity of plant species in the tropics has revealed complex phenological patterns and reproductive strategies occurring throughout the year. Describing and analysing tropical plant phenology, and detecting triggers, demands to consider the circular nature of recurrent life cycle events and the use of appropriated statistical metrics. Here, we explore analytical pitfalls potentially affecting results of studies that do not consider the circular nature of phenology data when comparing resting and non-resting systems, especially when accounting for phylogeny. We discuss definitions of the widely used first flowering date and revisit the literature on phylogenetic signal in plant phenology. We compare statistical analyses for tropical and temperate phenology by simulating communities with known phenological and phylogenetic structures. We demonstrate that ignoring the circular nature of phenological data underestimates the phylogenetic signal in plant phenology. Using the proposed circular transformation for non-resting tropical ecosystems and resting temperate systems prevented errors, yielding precise comparisons. Synthesis. The analysis of both non-resting and resting systems must consider the circularity of phenological events. Circular statistics is the appropriate approach to calculate phenological parameters, identify phylogenetic signal and assess drivers, allowing accurate cross-comparisons of phenology across environments at large spatial scales.
dc.languageeng
dc.publisherWiley-Blackwell
dc.relationJournal Of Ecology
dc.sourceWeb of Science
dc.subjectcircular statistics
dc.subjectclimate seasonality
dc.subjectfirst flowering date
dc.subjectK-statistic
dc.subjectMantel correlation
dc.subjectPagel's lambda
dc.subjectphylogenetic eigenvector regression
dc.subjectphylogenetic signal
dc.titleThe circular nature of recurrent life cycle events: a test comparing tropical and temperate phenology
dc.typeOtros


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