Abstract

Abstract. We consider here the dynamics of two polychaete populations based on a 20 yr temporal benthic survey of two muddy fine sand communities in the Bay of Morlaix, Western English Channel. These populations display high temporal variability, which is analyzed here using scaling approaches. We find that population densities have heavy tailed probability density functions. We analyze the dynamics of relative species abundance in two different communities of polychaetes by estimating in a novel way a "mean square drift" coefficient which characterizes their fluctuations in relative abundance over time. We show the usefulness of using new tools to approach and model such highly variable population dynamics in marine ecosystems.

Highlights

  • One of the key features of environmental and geophysical field studies is their high variability at many different time and space scales

  • We analyze the dynamics of relative species abundance in two different communities of polychaetes by estimating in a novel way a “mean square drift” coefficient which characterizes their fluctuations in relative abundance over time

  • We show the usefulness of using new tools to approach and model such highly variable population dynamics in marine ecosystems

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Summary

Introduction

One of the key features of environmental and geophysical field studies is their high variability at many different time and space scales Because of these external influences and because of the stochasticity introduced by the reproduction and predator prey processes, population dynamics are characterized by high variability over time and space (Pimm and Redfearn, 1988; Blarer and Doebeli, 1999; Ferriere and Cazelles, 1999; Inchausti and Halley, 2001; Schmitt et al, 2008). Polychaetes colonize a large range of soft and hard marine sediment habitats, from intertidal to hadal (parts of the ocean below 6000 m) zones This group often dominates benthic macrofauna (Gremare et al, 1998) and has been shown to constitute a good surrogate for describing its distribution (Olsgard et al, 2003); they can be used as markers of different ecological conditions (Gambi and Giangrande, 1986).

Presentation of the databases
Heavy tails in probability distributions of total abundance data
Relation between total abundance and species richness
Relative abundance
Ecological drift and its quantification
Findings
Discussion and conclusion

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