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Using stochastic population process models to predict the impact of climate change
van der Meer, J.; Beukema, J.J.; Dekker, R. (2013). Using stochastic population process models to predict the impact of climate change. J. Sea Res. 82: 117-121. dx.doi.org/10.1016/j.seares.2012.08.011
In: Journal of Sea Research. Elsevier/Netherlands Institute for Sea Research: Amsterdam; Den Burg. ISSN 1385-1101, more
Peer reviewed article  

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Author keywords
    Wadden Sea; Population dynamics; Non-linear time series models; Globalchange

Authors  Top 
  • van der Meer, J., more
  • Beukema, J.J., more
  • Dekker, R., more

Abstract
    More than ten years ago a paper was published in which stochastic population process models were fitted to time series of two marine polychaete species in the western Wadden Sea, The Netherlands (Van der Meer et al., 2000). For the predator species, model fits pointed to a strong effect of average sea surface winter temperature on the population dynamics, and one-year ahead model forecasts correlated well with true observations (r = 0.90). During the last decade a pronounced warming of the area occurred. Average winter temperature increased with 0.9 degrees C. Here we show that despite the high goodness-of-fit whilst using the original dataset, predictive capability of the models for the recent warm period was poor.

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