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. 2012:(176):133-44.
doi: 10.3897/zookeys.176.2258. Epub 2012 Mar 20.

Aggregation in woodlice: social interaction and density effects

Affiliations

Aggregation in woodlice: social interaction and density effects

Pierre Broly et al. Zookeys. 2012.

Abstract

Terrestrial isopods are known to be sensitive to humidity, brightness or temperature. Until now, aggregation was assumed to depend on these sensitivities as a result of individual preferences. In this paper, we show that the social component is also important in the isopod aggregation phenomenon. In experimental arenas with two identical shelters up to nearly 90% of woodlice aggregated under shelters. This aggregation was quick as in 10 minutes most of the animals aggregated, irrespective of their density. Nonetheless, 10-15% of the animals walked around the arena, rarely forming very small and short-lasting aggregates outside shelters. Woodlice aggregated preferably under one of the shelters in 77% of experiments. Indeed, almost 80% of the animals out of 40, 60 or 80 animals in the arena aggregated under one shelter. In arenas with 100 individuals the aggregations were proportionally smaller (70%). Our results revealed that 70 animals was a maximum number of woodlice in an aggregate. We concluded that the location of aggregates is strongly governed by individual preferences but the dynamics of aggregation and collective choice are controlled by social interaction between congeners. The tested densities of the animals in the arena did not impact the aggregation patterns.

Keywords: Woodlouse; aggregation; density; dynamics; social interaction.

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Figures

Figure 1.
Figure 1.
Experimental set-up.
Figure 2.
Figure 2.
Choice of one shelter. Proportion of choice of a shelter at the end of the experiments as a function of woodlice density.
Figure 3.
Figure 3.
Dynamics of aggregation under shelters. Average proportion of woodlice aggregated under the “winning” and the “losing” shelter for experiments showing a clear choice of one of both shelters (Binomial test, difference from an equal distribution of woodlice between shelters).
Figure 4.
Figure 4.
Dynamics of aggregation under thewinningshelter. Evolution of the average number of woodlice under the winning shelter as a function of time for the four densities tested and for experiments showing a clear choice of one of both shelters. Standard deviations are presented for each 4 minutes. Horizontal lines below the graph indicated the statistical differences between densities; these differences were pointed out by a Kruskal-Wallis followed by a Dunn’s tests for each minute of the experiments.

References

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