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Water Framework Directive Marine Plants Task Team Tools Paper ...

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The application of the shore description is not as straight forward as the rest of the<br />

metric components as it only acts as a correction for the level of species richness and<br />

not the proportions of green, red, and opportunist or the ESG ratio. Its inclusion into<br />

the metric as a single component bares too much weighting for the system, therefore it<br />

only needs to be incorporated into the final species richness value. Using data from<br />

reference or near reference conditions a graph was plotted to show the level of<br />

correlation between species richness and shore description (Figure 8) displaying a<br />

non­linear relationship between the two variables. This relationship can be described<br />

by an exponential­type model of the form:<br />

RICHNESS = a +<br />

b exp(cSHORE )<br />

where a, b and c are parameters to be estimated from the data. Using least squares,<br />

these parameters were estimated to be:<br />

a = 16.543<br />

b = 7.150<br />

c = 0.122<br />

Therefore for each value of shore description there is a level of species richness that is<br />

to be expected for reference conditions from which a ‘de­shoring factor’ has been<br />

produced. This can be seen in table 3. This factor was based around an average shore<br />

description of 15. The actual level of species richness can then be compare with the<br />

predicted level of species richness by applying the ‘de­shoring factor’. An example is<br />

given below:<br />

The site of Bugel Bay in Northumberland has a shore description of 10 and a species<br />

richness of 51. The expected level of species richness for this shore description is<br />

40.73 with a de­shoring factor of 1.50. Therefore the final value for species richness<br />

is:<br />

RICHNESS = 51 x 1.50 = 76.50<br />

This is the final value to be input to the metric system

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