The circular nature of recurrent life cycle events: a test comparing tropical and temperate phenology
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Data
2019-09-07
Autores
Staggemeier, Vanessa Graziele [UNESP]
Gutierrez Camargo, Maria Gabriela [UNESP]
Felizola Diniz-Filho, Jose Alexandre
Freckleton, Robert
Jardim, Lucas
Cerdeira Morellato, Leonor Patricia [UNESP]
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Editor
Wiley-Blackwell
Resumo
The 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.
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Palavras-chave
circular statistics, climate seasonality, first flowering date, K-statistic, Mantel correlation, Pagel's lambda, phylogenetic eigenvector regression, phylogenetic signal
Como citar
Journal Of Ecology. Hoboken: Wiley, v. 108, n. 2, p. 393-404, 2020.