Model Trait Component Predictor Slope ± SE for lentic Slope ± SE for lotic R2
Ordinary least-squares regression
Colour lightness
Average
AMT
3.0 × 100 ± 2.8 × 10–1
2.7 × 100 ± 4.4 × 10–1
0.29
AP 1.4 × 101 ± 2.9 × 101 8.6 × 101± 4.2 × 10–1
S - component AMT 1.2 × 100 ± 1.2 × 10–1 6.6 × 10-1 ± 1.9 × 10–1 0.21
AP 3.2 × 10–2 ± 1.3 × 10–1 2.6 × 10-1 ± 1.8 × 10–1
P - component AMT 1.6 × 100 ± 1.7 × 10–1 1.7 × 100 ± 2.7 × 10–1 0.22
AP –9.7 × 10–2± 1.7 × 10–1 –1.5 × 10-1 ± 2.5 × 10–1
Body volume Average AMT –2.5 × 10–2 ± 8.3 × 10–3 –1.2 × 102 ± 1.3 × 102 0.03
AP 6.3 × 103 ± 8.5 × 103 3.6 × 10–2 ± 1.2 × 10–2
S - component AMT –9.9 × 10–4 ± 6.4 × 10–5 –1.7 × 10–4 ± 1.0 × 10–4 0.03
AP 1.3 × 10–4 ± 6.5 × 10–5 –9.3 × 10–5 ± 9.5 × 10–5
P - component AMT –2.3 × 10–2 ± 8.3 × 10–3 –1.1 × 10–2 ± 1.3 × 10–2 0.04
AP 6.7 × 10–3 ± 8.5 × 10–3 3.9× 10–2 ± 1.3 × 10–2
Spatial autoregressive error models
Colour lightness
Average
AMT
2.9 × 100 ± 3.1 × 10–1
2.6 × 100 ± 4.6 × 10–1
0.31
AP 3.0 × 101 ± 3.1 × 101 7.4× 10–1 ± 4.3 × 10–1
S - component AMT 1.2 × 100 ± 1.3 × 10–1 6.2 × 10–1 ± 2.0 × 10–1 0.22
AP 7.8 × 10–2 ± 1.3 × 10–1 2.3 × 10-1 ± 1.9 × 10–1
P - component AMT 1.6 × 100 ± 1.8 × 10–1 1.7 × 100 ± 2.7 × 10–1 0.24
AP 4.1 × 10–2 ± 1.9 × 10–1 –1.5 × 10-1 ± 2.6 × 10–1
Body volume Average AMT –2.2 × 10–2 ± 8.8 × 10–3 –1.4 × 102 ± 1.3 × 10–2 0.05
AP 8.1 × 10–3 ± 9.1 × 10–3 3.3 × 10–2 ± 1.3 × 10–2
S - component AMT –7.8 × 10–5 ± 6.8 × 10–5 –1.4 × 10–4 ± 1.0 × 10–4 0.04
AP 1.8 × 10–4 ± 7.0 × 10–5 –9.1 × 10–5 ± 9.7× 10–5
P - component AMT –2.2 × 10–2 ± 8.8 × 10–3 –1.4 × 10–2 ± 1.3 × 10–2 0.05
AP 8.4 × 10–3 ± 9.2 × 10–3 3.6 × 10–2 ± 1.3 × 10–2