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Spectral analysis of forest model time series

Ecological Modelling 4(4): 313-326
Spectral analysis of forest model time series
The use of spectral analysis to elucidate the cyclic behavior in time series generated by a forest stand growth simulation model is discussed. A stand-level simulator, FORET, for an Appalachian deciduous forest [USA] is described. An estimate of the power spectral density of the total biomass time series is calculated. The power spectral density estimate indicates a dominant cyclic behavior with a period of about 200 yr. The spectral density is approximately bandlimited. This characteristic makes possible the application of the sampling theorem for analysis of sampling rates.

Accession: 006459414

DOI: 10.1016/0304-3800(78)90025-X

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