1- Are there differences between Open and Closed reaches?

Linear models (example: Temperature’ as function of ‘Canopy’, with ‘Stream (site)’ as random effect) suggest there isn’t.
m2<-lme(Temp.C~Canopy, random=~1|Stream, method="ML", data=Water)
summary(m2)
## Linear mixed-effects model fit by maximum likelihood
## Data: Water
## AIC BIC logLik
## 267.9504 276.3278 -129.9752
##
## Random effects:
## Formula: ~1 | Stream
## (Intercept) Residual
## StdDev: 0.6271728 2.042354
##
## Fixed effects: Temp.C ~ Canopy
## Value Std.Error DF t-value p-value
## (Intercept) 8.853333 0.4600577 53 19.243965 0.0000
## CanopyOpen -0.026667 0.5363484 53 -0.049719 0.9605
## Correlation:
## (Intr)
## CanopyOpen -0.583
##
## Standardized Within-Group Residuals:
## Min Q1 Med Q3 Max
## -2.10262036 -0.61150371 0.06482749 0.49016623 2.49599611
##
## Number of Observations: 60
## Number of Groups: 6
As expected, also no sign. differences in means of the other parameters between reaches
| DO |
CanopyOpen |
0.046 |
0.1730 |
39 |
0.266 |
0.791 |
| DO100 |
CanopyOpen |
-0.083 |
4.598 |
39 |
-0.018 |
0.986 |
| pH |
CanopyOpen |
0.006 |
0.070 |
41 |
0.084 |
0.934 |
| Conductivity |
CanopyOpen |
4.817 |
11.324 |
53 |
0.425 |
0.672 |
| Dishcarge |
CanopyOpen |
0.000 |
126.285 |
51 |
0.00 |
1.0 |
| TIN |
CanopyOpen |
47.5467 |
69.451 |
53 |
0.685 |
0.497 |
| PO4P |
CanopyOpen |
0.303 |
4.988 |
53 |
0.061 |
0.952 |