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The predictability of biological populations and communities: an example from the meiobenthos
Herman, P.M.J.; Heip, C.H.R. (1986). The predictability of biological populations and communities: an example from the meiobenthos, in: Heip, C.H.R. et al. (1987). Long-term changes in coastal benthic communities: Proceedings of a symposium, held in Brussels, Belgium, December 9-12, 1985. Developments in Hydrobiology, 38: pp. 281-290. https://dx.doi.org/10.1007/978-94-009-4049-9_24
In: Heip, C.H.R.; Keegan, B.F.; Lewis, J.R. (1987). Long-term changes in coastal benthic communities: Proceedings of a symposium, held in Brussels, Belgium, December 9-12, 1985. Developments in Hydrobiology, 38. W. Junk Publishers: Dordrecht/Boston/Lancaster. ISBN 978-90-6193-637-4; e-ISBN 978-94-009-4049-9. XV1, 340 pp. https://dx.doi.org/10.1007/978-94-009-4049-9, meer
In: Dumont, H.J. (Ed.) Developments in Hydrobiology. Kluwer Academic/Springer: The Hague; London; Boston; Dordrecht. ISSN 0167-8418, meer
Is gerelateerd aan:
Herman, P.M.J.; Heip, C.H.R. (1986). The predictability of biological populations and communities: an example from the meiobenthos. Hydrobiologia 142: 281-290. https://dx.doi.org/10.1007/BF00026765, meer
Beschikbaar in  Auteurs 
Documenttype: Congresbijdrage
Trefwoorden
    Aquatic communities > Benthos > Meiobenthos
    Monitoring
    Prediction
    Time series
    Copepoda [WoRMS]
    Marien/Kust
Auteurs  Top 
  • Herman, P.M.J., meer
  • Heip, C.H.R., meer
Abstract
    The predictability of temporal changes was analysed in the population density of three meiobenthic copepod species, and for three parameters characterizing this community. For Paranychocamptus nanus and Tachidius discipes a large part of the variation in time scales longer than 1 year is explainable as cyclic factors. In P. nanus clear cycles with periods of 2 years and 1.5 years were found. These cyclic factors can be extrapolated for prediction. In Canuella perplexa almost all the variation was due to unpredictable long-term drift. Community parameters are generally better predicted than population densities. In our data set total density of the copepods was the best parameter to monitor. Monitoring does not necessitate a strict sampling scheme; irregular quarterly sampling from the P. nanus series showed that the essential features of the series were still discernible.
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