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Baseline study Fish, fry and commercial fishery Nysted Offshore ...

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Bio/consult as Page 92<br />

Original data Non-parametric Multivariate Analysis of Variance<br />

Possible Denom.<br />

Source df SS MS F P No.perm. MS<br />

-----------------------------------------------------------------------------<br />

Omraa 1 7075.6513 7075.6513 4.6886 0.0004 >1.0E+10 Res<br />

maane 1 14002.8873 14002.8873 9.2789 0.0002<br />

The<br />

abundance<br />

of stationary<br />

species<br />

doubled in<br />

June.<br />

The<br />

abundance<br />

of stationary<br />

species<br />

increased<br />

fourfold in<br />

June.<br />

Res<br />

Omxma 1 1636.8030 1636.8030 1.0846 0.3842 >1.0E+10 Res<br />

Resid 44 66400.9367 1509.1122<br />

Total 47 89116.2784<br />

-----------------------------------------------------------------------------<br />

Non-parametric Multivariate Analysis of Variance<br />

Possible Denom.<br />

Source df SS MS F P No.perm. MS<br />

-----------------------------------------------------------------------------<br />

omraa 1 8109.9132 8109.9132 5.3740 0.0002 >1.0E+10 Res<br />

maane 1 12625.0607 12625.0607 8.3659 0.0002<br />

Res<br />

omxma 1 2889.3945 2889.3945 1.9146 0.0586 >1.0E+10 Res<br />

Resid 44 66400.9367 1509.1122<br />

Total 47 90025.3051<br />

-----------------------------------------------------------------------------<br />

Non-parametric Multivariate Analysis of Variance<br />

Possible Denom.<br />

Source df SS MS F P No.perm. MS<br />

-----------------------------------------------------------------------------<br />

omraa 1 10159.6715 10159.6715 6.7322 0.0002 >1.0E+10 Res<br />

maane 1 12271.9657 12271.9657 8.1319 0.0002<br />

Res<br />

omxma 1 5587.7770 5587.7770 3.7027 0.0004 >1.0E+10 Res<br />

Resid 44 66400.9367 1509.1122<br />

Total 47 94420.3510<br />

-----------------------------------------------------------------------------<br />

Table 10.3.1. Results from a NPMANOVA test on the spring sampling of two artificial data sets with<br />

a built-in effect in the samples from June at the windmill park.<br />

Based on the above-mentioned techniques, improvement <strong>and</strong> recommendations to the<br />

sampling regime are given in section 3.10.4.<br />

3.10.3. Biological evaluation<br />

3.10.3.1 <strong>Fish</strong> <strong>study</strong><br />

Pelagic species was found in both areas. The pelagic species is of less interest caused by<br />

their way of life, with great differences in time <strong>and</strong> space. Therefore, in an eventual<br />

future monitoring program, pelagic species can at first glance only be used as a<br />

qualitative measure coupled to the experience achieved from costal areas generally.<br />

However, pelagic species e.g. the hornfish may be a potential indicator species<br />

concerning impact caused by reflections <strong>and</strong> shadowing from the mills because they<br />

reside near the water surface, are abundant <strong>and</strong> cover large areas.<br />

Of the pelagic species, it is recommended to focus on the Baltic herring in the future,<br />

because of its documented ability to sense noise (Bio/consult 2001c), though it<br />

according to present baseline only can be assessed qualitatively.<br />

Of stationary species, eelpout <strong>and</strong> short-spined sea scorpion serve as representative<br />

caught in relatively high numbers. Both of these species was caught in higher numbers<br />

SEAS. <strong>Baseline</strong> <strong>study</strong> – <strong>Fish</strong>, <strong>fry</strong> <strong>and</strong> <strong>commercial</strong> <strong>fishery</strong> Dok. nr. 2148-03-001-rev3 2P.doc

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