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un. On the other h<strong>and</strong>, if test mining were to occur, it would not be a bad idea<br />

to separate it into different areas.<br />

What could be done, in the absence <strong>of</strong> multiple impacted sites, to<br />

address the problem <strong>of</strong> impact assessment in a rigorous statistical way? In<br />

1979, Roger Green 13 had suggested an approach to an easier <strong>and</strong> more<br />

convincing test for an impact. The basic procedure was now called beforeafter-control-impact<br />

(BACI) studies or analyses. To illustrate this approach,<br />

Etter used diversity as the response variable, saying that it did not matter for<br />

the sake <strong>of</strong> determining the sampling protocol whether this was a reasonable<br />

choice or not. The populations being studied were varying in both space <strong>and</strong><br />

time but the investigators did not know this; they could just take samples at<br />

some time before <strong>and</strong> some time after the impact. The <strong>data</strong>, which could be<br />

plotted as dots on a graph, represented not a single sample but the mean <strong>of</strong> a<br />

series <strong>of</strong> replicate samples in or around each location. Green had argued that<br />

the sampling before could be compared to the sampling after for both the<br />

control <strong>and</strong> impact sites to better identify whether there had been an impact.<br />

This could be done, he had said, by looking for significant interaction between<br />

the localities in time. There would have been no interaction if both locations<br />

had responded in the same way to an external influence. On the other h<strong>and</strong>, a<br />

significant interaction would have occurred if the two locations had responded<br />

differently. It was expected that the two locations would differ spatially <strong>and</strong><br />

temporally, but Green’s suggestion was that the interaction -- the difference in<br />

the change between before <strong>and</strong> after for the control relative to the impacted --<br />

would indicate whether there had been an impact. The impacted site should<br />

show a different kind <strong>of</strong> response to the anthropogenic influence.<br />

This was one strategy, Etter continued, but it did not solve the<br />

problems. It did not account for all <strong>of</strong> the spatial <strong>and</strong> temporal variability<br />

among these locations. Changes might take place that had nothing to do with<br />

the anthropogenic effect, but that fact would go unrecognised because there<br />

was no other impacted site with which to compare. Again, one could err either<br />

way, finding that there had been an impact when there had not been or that<br />

there was no significant difference when in fact there had been one. The<br />

conclusion depended on how the control populations <strong>and</strong> the potentially<br />

impacted populations changed with respect to one another over time. There<br />

still remained the statistical problem <strong>of</strong> deciding whether an impact had<br />

occurred in a particular place.<br />

In a couple <strong>of</strong> articles published in the mid 1980s, statisticians had<br />

gone a step further in terms <strong>of</strong> these BACI studies, suggesting that a series <strong>of</strong><br />

samples be taken before <strong>and</strong> afterwards. This would provide a better<br />

INTERNATIONAL SEABED AUTHORITY 440

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