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variance (TTLQV) techniques (see Ludwig and Reynolds, 1988) assess patch sizes<br />

from a grid (or transect) of contiguous samples only.<br />

Characterisation of populations in space requires the definition of both 'intensity' and<br />

'form' (Pielou, 1969; Thrush et al., 1989; Thrush, 1991). The intensity of a spatial<br />

distribution refers to whether it is clumped, regular or not significantly different from<br />

random, while the form of a pattern describes the size of the patches or gradients<br />

(Thrush, 1991). Methods which sort distributions into clumped, regular or random,<br />

e.g., dispersion indices, rely on the distribution of density estimates about the mean<br />

rather than the actual spatial arrangement of individuals and are therefore dependent<br />

on the size of the sampling unit. Dispersion indices, although only giving information<br />

about the intensity of the pattern, have been widely used by benthic ecologists for<br />

assessing the degree of aggregation or uniformity of species distributions (e.g., Gage<br />

and Geekie, 1973; Levin, 1981; Volckaert, 1987; Meire et al., 1989; Thrush et al.,<br />

1989; Lamont et al., 1995; Lawrie, 1996). Indices such as the variance to mean ratio<br />

or index of dispersion (0, Morisita index (Id), the standardised Morisita index (/),) and<br />

Green's coefficient have been commonly applied to species data from a wide variety<br />

of sampling designs. Such indices are simple to calculate and the majority of them<br />

can be easily tested for significance using the Chi-square distribution. However, none<br />

of these indices on their own are ideal since they tend to be affected by population<br />

density and/or sample size (Elliot, 1977; Taylor, 1984; Andrew and Mapstone, 1987;<br />

Meire et al., 1989; Hurlbert, 1990). Myers (1978) suggested that several indices<br />

should be used in conjunction and when their results correspond, a stronger statement<br />

can be made about the dispersion.<br />

Dispersion indices give an indication of the intensity of pattern only, since they do not<br />

utilise the information contained in the arrangement of individuals in space they<br />

cannot give any idea as to the form of a pattern. Consequently, two distributions<br />

which may have a similar intensity of pattern may have very different spatial<br />

arrangements (Thrush, 1991; Hall et al., 1993). Furthermore, such indices give no<br />

indication of the scales at which pattern might be found other than the scale at which<br />

the data used to calculate them were gathered (Hill, 1973).<br />

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