Time-Series Analyses Applied to Sequences of Nothofagus Growth- Ring Measurements
Time-series analysis, a relatively uncommon technique in ecological studies, has been applied to annual tree growth-ring series. In agreement with earlier North American work, ARMA(1,1) models were found to be the predominant form for expressing stochastic growth processes, occurring in 58% of the 36 Nothofagus menziesii and N. solandri time-series examined. The remaining 42% conformed to an AR(1) process. The average parameter values of {0.79, 0.42} for the ARMA models are remarkably consistent with North American work.