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River and stream water quality and ecology - Greater Wellington ...

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RS06<br />

Shade<br />

RS11<br />

Habitat<br />

RS35<br />

RS49 RS43<br />

RS44<br />

RS54<br />

RS09<br />

Black disc<br />

RS28<br />

Substrate<br />

Cond. TOC<br />

RS03 RS20 RS52<br />

RS56 RS26<br />

RS17<br />

RS25<br />

RS23<br />

RS10 RS24<br />

RS13<br />

RS14<br />

RS29 RS40<br />

RS50<br />

Amm N<br />

RS38<br />

DRP<br />

TP<br />

TN<br />

TKN<br />

RS05<br />

RS31 RS47<br />

RS55<br />

RS48<br />

RS21<br />

RS32 RS41<br />

RS22<br />

DIN<br />

RS37<br />

RS51<br />

Turb.<br />

RS16<br />

Temp.<br />

RS15<br />

RS18<br />

RS46<br />

RS33<br />

RS34<br />

RS30<br />

<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 />

RS19<br />

RS07<br />

RS02<br />

RS12<br />

L<strong>and</strong>cover<br />

U<br />

IF<br />

P<br />

EF<br />

WGN_DOCS-#1100598-V3 PAGE 81 OF 160<br />

RS36<br />

RS53<br />

RS45<br />

RS04<br />

RS42<br />

2D Stress: 0.11<br />

Figure 6.5: NMDS ordination of macroinvertebrate community composition based<br />

on mean taxon abundance at each of 55 RSoE sites determined from samples<br />

collected annually in 2009, 2010 <strong>and</strong> 2011. Environmental variables with a<br />

Spearman Rank correlation greater than rs=0.6 are shown by the overlain vectors<br />

most strongly correlated with macroinvertebrate community composition was<br />

TKN (rs=0.68), while the strongest two variable solution included TKN <strong>and</strong><br />

substrate size (rs=0.81). This suggests that of the environmental variables<br />

measured, nitrogen enrichment <strong>and</strong> substrate size are most strongly linked with<br />

macroinvertebrate community composition.<br />

6.2 Temporal trends<br />

6.2.1 Approach to analysis<br />

Temporal trends were analysed over the period 2004 to 2011 (n=8) 24 . The<br />

approach used was similar to that of Collier <strong>and</strong> Kelly (2006) who analysed<br />

trends in macroinvertebrate metrics in a dataset over a similar length of record.<br />

The 2004 to 2011 period was the longest available for trend assessment since<br />

major changes were made to the RSoE site network in 2003 (refer Section 2.1).<br />

The September 2003 start date also represented a logical follow-on from the<br />

1999 to 2003 trend period used to report on macroinvertebrate health in the last<br />

river <strong>and</strong> <strong>stream</strong> SoE technical report (Milne & Perrie 2005).<br />

Non-parametric Spearman Rank correlations (performed in SigmaPlot, version<br />

11.0) were used to assess trends in four metrics: MCI (hard-bottomed), QMCI,<br />

%EPT taxa 25 <strong>and</strong> %EPT individuals 25 . As with the periphyton trend analysis<br />

(refer to Section 5.2), three trend classes were defined. Trends were considered<br />

‘possible’ when Spearman Rank correlation coefficient probabilities (p) were<br />

between 0.1 <strong>and</strong> 0.05, ‘probable’ when p

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