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ut uses each data point (abundance) and assigns that value to the grid (Keckler,<br />

1997).<br />

Spatial autocorrelation analysis was performed on the abundance data for adults and<br />

new recruits, together with the results from sediment analyses. This was carried out<br />

using the SAAP package version 4.3 in an identical way to that described in Chapter<br />

2. The distance classes 1-5 were kept constant through all the analyses and represent<br />

inter-sample distances 0-3cm, 3-6cm, 6-9cm, 9-12cm and 12-15cm respectively.<br />

Correlation analyses of adult P. elegans abundances with new recruits (for transects<br />

with mean abundances of 3 individuals per core) and other species (with mean<br />

densities 1 individual per core) were carried out. The data were checked for<br />

normality using the Anderson-Darling test, any data not conforming to normality were<br />

log(x+1)-transformed before Pearson Product Moment Correlation analysis. Any<br />

transformed data not conforming to normality were ranked and analysed using<br />

Spearman Rank Correlation analysis. The a level, 0.05, was adjusted according to the<br />

Bonferroni correction where probabilities were compared to a' where a'= oc/k (where<br />

k = the number of independent tests; Sokal, 1986; Legendre and Legendre, 1997).<br />

Correlation analyses were performed using Minitab version 12.1.<br />

178

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