Journal article

Wavelet characterization of eucalypt flowering and the influence of climate

IL Hudson, MR Keatley, I Kang

ENVIRONMENTAL AND ECOLOGICAL STATISTICS | SPRINGER | Published : 2011

Abstract

More robust statistical methods are required for examining phenological time series as they are often noisy and non-stationary. Wavelet analytic methods easily handle such data. A maximal overlap discrete wavelet transform (MODWT) analysis of flowering records (1940-1970) of Eucalyptus tricarpa, E. leucoxylon, E. microcarpa and E. polyanthemos identified four subcomponents in each flowering series: characterized as a non-flowering phase, duration, annual and intensity cycles. A decreasing overall trend in flowering was identified by the MODWT smoothed series. Wavelet correlation found the same contemporaneous effects of climate on flowering for Eucalyptus tricarpa and E. leucoxylon, and for ..

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University of Melbourne Researchers