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Temporal change in UK marine communities: trends or regime shifts?
Spencer, M.; Birchenough, S.N.R.; Mieszkowska, N.; Robinson, L.A.; Simpson, S.D.; Burrows, M.T.; Capasso, E.; Cleall-Harding, P.; Crummy, J.; Duck, C.; Eloire, D.; Frost, M.; Hall, A.J.; Hawkins, S.J.; Johns, D.G.; Sims, D.W.; Smyth, T.J.; Frid, C.L.J. (2011). Temporal change in UK marine communities: trends or regime shifts? Mar. Ecol. (Berl.) 32(s1): 10-24. https://dx.doi.org/10.1111/j.1439-0485.2010.00422.x
In: Marine Ecology (Berlin). Blackwell: Berlin. ISSN 0173-9565; e-ISSN 1439-0485, meer
Ook verschenen in:
Green, J.A.; Paramor, O.A.L.; Robinson, L.A.; Spencer, M.; Watts, P.C.; Frid, C.L.J. (Ed.) (2011). Marine biology in time and space: Proceedings of the 44th European Marine Biology Symposium, 7-11 September 2009, Liverpool, UK. European Marine Biology Symposia, 44. Marine Ecology (Berlin), 32(Suppl. 1). vii, 134 pp., meer
Peer reviewed article  
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Trefwoord
    Marien/Kust
Author keywords
    Abundance; population trends; principal components; regime shift detection; regime shifts; time series; UK marine ecosystems
Auteurs  Top 
  • Spencer, M.
  • Birchenough, S.N.R.
  • Mieszkowska, N., meer
  • Robinson, L.A.
  • Simpson, S.D.
  • Burrows, M.T.
  • Capasso, E.
  • Cleall-Harding, P.
  • Crummy, J.
  • Duck, C.
  • Eloire, D.
  • Frost, M.
  • Hall, A.J.
  • Hawkins, S.J., meer
  • Johns, D.G., meer
  • Sims, D.W.
  • Smyth, T.J.
  • Frid, C.L.J., meer
Abstract
    A regime shift is a large, sudden, and long-lasting change in the dynamics of an ecosystem, affecting multiple trophic levels. There are a growing number of papers that report regime shifts in marine ecosystems. However, the evidence for regime shifts is equivocal, because the methods used to detect them are not yet well developed. We have collated over 300 biological time series from seven marine regions around the UK, covering the ecosystem from phytoplankton to marine mammals. Each time series consists of annual measures of abundance for a single group of organisms over several decades. We summarised the data for each region using the first principal component, weighting either each time series or each biological component (e.g. plankton, fish, benthos) equally. We then searched for regime shifts using Rodionov’s regime shift detection (RSD) method, which found regime shifts in the first principal component for all seven marine regions. However, there are consistent temporal trends in the data for six of the seven regions. Such trends violate the assumptions of RSD. Thus, the regime shifts detected by RSD in six of the seven regions are likely to be artefacts caused by temporal trends. We are therefore developing more appropriate time series models for both single populations and whole communities that will explicitly model temporal trends and should increase our ability to detect true regime shift events.
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