A stepwise algorithm to detect significant time lags in ecological time series in terms of autocorrelation functions and ARMA model optimisation of pest population seasonal outbreaks-Reference-Cited by-同舟云学术

A stepwise algorithm to detect significant time lags in ecological time series in terms of autocorrelation functions and ARMA model optimisation of pest population seasonal outbreaks

Published:2015-09-04 Issue:7 Volume:30 Page:1961-1980
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Damos Petros

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00477-015-1150-1.pdf

Reference71 articles.

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3. Berryman AA (1994) Population dynamics: forecasting and diagnosisfrom time series. In: Watt KEF, Leather SA, Hunter DM (eds) Individuals, populations and patterns in ecology. Intercept, Andover, pp 119–128

4. Berryman AA (1999) Principles of population dynamics and their application. Stanley Thornes, Cheltenham

5. Berryman A, Lima M (2007) Detecting the order of population dynamics from time series: nonlinearity causes spurious diagnosis. Ecology 88(2007):2121–2123

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