Book Chapter

Wavelet Analysis of Flowering and Climatic Niche Identification

Irene L Hudson, In Kang, Marie R Keatley

PHENOLOGICAL RESEARCH: METHODS FOR ENVIRONMENTAL AND CLIMATE CHANGE ANALYSIS | SPRINGER | Published : 2010

Abstract

This chapter discusses wavelet analysis which is a robust statistical method capable of handling noisy and non-stationary data which phenological time series often are. We used a maximal overlap discrete wavelet transform (MODWT) analysis to examine the flowering records (1940-1970) of E. leucoxylon and Eucalyptus tricarpa, E. microcarpa and E. polyanthemos. We identified four subcomponents in each flowering series: characterised 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 flow-ering for E. leucoxylon and Eucalyptus..

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