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Modelling unimodal flowering phenology with exponential sine equations
Author(s) -
Malo J. E.
Publication year - 2002
Publication title -
functional ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.272
H-Index - 154
eISSN - 1365-2435
pISSN - 0269-8463
DOI - 10.1046/j.1365-2435.2002.00629.x
Subject(s) - phenology , biology , sine , skewness , exponential function , statistics , ecology , variance (accounting) , function (biology) , mathematics , botany , evolutionary biology , mathematical analysis , geometry , accounting , business
Summary 1. This paper presents a method for modelling unimodal flowering phenology based on fitting data to an exponential sine function with a minimum number of parameters. 2. Such parameters have the advantage of being direct surrogates for the most relevant features of any phenology (start, duration, intensity, skewness and length of the tails). 3. The use of the proposed function is exemplified using flowering data collected from populations of five Cistaceae species (four from the genus Cistus and one from Halimium ). 4. The fitted models account for a large part (> 90%) of the variance in the data, and their parameters are easily interpreted in ecological terms.