River and stream water quality and ecology - Greater Wellington ...
River and stream water quality and ecology - Greater Wellington ...
River and stream water quality and ecology - Greater Wellington ...
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<strong>River</strong> <strong>and</strong> <strong>stream</strong> <strong>water</strong> <strong>quality</strong> <strong>and</strong> <strong>ecology</strong> in the <strong>Wellington</strong> region: State <strong>and</strong> trends<br />
Similar to the trends in periphyton growth, it is possible that declining trends in<br />
macroinvertebrate metrics at some sites are a result of unusual flow conditions<br />
affecting samples at the start of the trend analysis period. Many samples taken<br />
during 2004 <strong>and</strong> 2005 were subject to unusually high river flows, short accrual<br />
periods <strong>and</strong> in some cases low <strong>water</strong> temperatures due to samples being taken<br />
later in the season. These conditions generally resulted in higher<br />
macroinvertebrate metric scores in 2004 <strong>and</strong> 2005 than in later years, as<br />
illustrated by the overall patterns in macroinvertebrate metrics at the 55 RSoE<br />
sites across the trend analysis period (Figure 6.9).<br />
MCI score<br />
160<br />
140<br />
120<br />
100<br />
80<br />
60<br />
40<br />
2004 2005 2006 2007 2008 2009 2010 2011<br />
2004 2005 2006 2007 2008 2009 2010 2011<br />
Figure 6.9: Box plots summarising the range of mean MCI (left) <strong>and</strong> QMCI (right)<br />
scores recorded across all 55 RSoE monitoring sites for each year from 2004 to<br />
2011<br />
6.3 Synthesis<br />
Based on mean MCI scores for the 2009 to 2011 period, 16 sites are classified<br />
as having ‘excellent’ macroinvertebrate community health, 20 sites as ‘good’,<br />
16 sites as ‘fair’, <strong>and</strong> 3 sites as ‘poor’ (Figure 6.10). All sites classed as<br />
‘excellent’ have up<strong>stream</strong> catchments dominated by indigenous forest cover.<br />
In contrast, the majority of the sites classed as ‘poor’ or as being within the<br />
‘fuzzy boundary’ of the fair/poor threshold were soft-bottomed sites in<br />
catchments dominated by pastoral or urban l<strong>and</strong>cover. Although sites on the<br />
mid <strong>and</strong> lower reaches of the larger rivers in the region such as the Otaki, Hutt,<br />
Wainuiomata, Ruamahanga <strong>and</strong> Waiohine rivers tended to be classed as<br />
‘good’, mean MCI scores at these sites were often considerably reduced<br />
compared to upper catchment sites.<br />
Mean MCI scores were strongly positively correlated with indigenous forest<br />
cover <strong>and</strong>, for sites classed as ‘pastoral’, strongly negatively correlated with the<br />
proportion of pastoral l<strong>and</strong>cover. Although there were insufficient sites to<br />
assess the relationship between MCI <strong>and</strong> urban l<strong>and</strong>cover, RSoE sites classed<br />
as ‘urban’ recorded the lowest mean MCI scores of all three major l<strong>and</strong>cover<br />
types. Further, comparison of macroinvertebrate data collected by Kingett<br />
Mitchell (2005a) from 67 urban <strong>stream</strong> sites across Hutt, <strong>Wellington</strong> <strong>and</strong><br />
Porirua cities <strong>and</strong> the Kapiti Coast with the proportion of impervious cover in<br />
the up<strong>stream</strong> catchment (<strong>Greater</strong> <strong>Wellington</strong> unpublished data) indicates that<br />
<strong>stream</strong> health declines with increasing intensity of urban l<strong>and</strong> use (Figure<br />
6.11). These data suggest that as little as 10% impervious cover within a<br />
catchment can reduce <strong>stream</strong> health.<br />
PAGE 86 OF 160 WGN_DOCS-#1100598-V3<br />
QMCI score<br />
9<br />
8<br />
7<br />
6<br />
5<br />
4<br />
3<br />
2<br />
0