Cheakamus River Water License Requirements ... - BC Hydro
Cheakamus River Water License Requirements ... - BC Hydro
Cheakamus River Water License Requirements ... - BC Hydro
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<strong>Cheakamus</strong> <strong>River</strong> Benthic Community Monitoring, Progress Report 1<br />
1 0BINTRODUCTION<br />
A project was started May 12, 2008 to monitor periphyton, benthic invertebrates,<br />
and associated habitat attributes in the <strong>Cheakamus</strong> <strong>River</strong> during each of 4 seasons in<br />
2008 - 2010. Objectives are to increase sample size for a range of biological<br />
assemblages and habitat attributes for which measurements were started in past<br />
projects. The updated data will contribute to a model used to examine effects of variation<br />
in flow on various indices of river condition. These objectives meet the Terms of<br />
Reference for water monitoring that is required as part of the water license issued to <strong>BC</strong><br />
<strong>Hydro</strong> for power production on the <strong>Cheakamus</strong> <strong>River</strong> (<strong>BC</strong> <strong>Hydro</strong> 2007). The area of<br />
interest includes the main channel of the <strong>Cheakamus</strong> <strong>River</strong> extending from the Daisy<br />
Dam downstream to the confluence with the Squamish <strong>River</strong>. Methods follow those used<br />
in development of the <strong>Cheakamus</strong> Benthos Model (CBM), a decision support tool for<br />
water use planning that was developed in 2001 (Perrin 2001). CBM consists of<br />
regression equations that can be used to predict benthic invertebrate biomass as a<br />
function of several habitat and biological attributes and show the most important habitat<br />
attributes that determine the invertebrate biomass. Data supporting CBM is from<br />
monitoring over all seasons in 1996 (Perrin 1998) and 1999-2000 (Perrin 2001). The<br />
model is not easy to use because it involves feedback loops between a periphyton<br />
biomass model and an invertebrate biomass model. The two models must be run<br />
together over a time series to look for equilibration of the feedbacks. No interface has<br />
been written for the model so it is awkward to use. New data from monitoring in 2008-<br />
2010 will be used to restructure and simplify the analysis and modeling. It will involve not<br />
just one endpoint as in the present CBM (invertebrate or periphyton biomass) but the<br />
complete assemblage of invertebrates. The approach will use multivariate techniques to<br />
show what habitat attributes are most important in determining assemblages of benthic<br />
invertebrates. The techniques will also identify taxa that are indicators of temporal and<br />
spatial variation in assemblages and thereby river health. A second step will use<br />
regression techniques to examine change in the biomass or abundance of indicator taxa<br />
as a function of habitat variables found to be important in discriminating between<br />
assemblages in the multivariate analyses. This two step process will show the<br />
importance of flow (as one of the habitat variables) in determining the assemblage of<br />
invertebrates that are indicators of river condition. If flow or flow metrics (e.g. coefficient<br />
of variation of flow, maximum or minimum flow during a sampling series, mean flow, etc.)<br />
are important, the model can be used to predict change in key biological indicators with<br />
variation in values of those flow metrics. There are five project objectives:<br />
1. Update CBM with additional data to increase sample size and simplify modeling<br />
approaches to link biological and habitat attributes, including flow. The modeling will<br />
be used to interpret changes in the health of the <strong>Cheakamus</strong> <strong>River</strong> that may result<br />
from different flows released from the Daisy Dam.<br />
Limnotek/InStream<br />
November 2009