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. 2018 Aug 9;123(1):107–120. doi: 10.1093/aob/mcy147

Table 2.

Bivariate correlations among nine leaf functional traits in G. max

A mass A area Log LMA Leaf N Leaf C Log leaf CN Log leaf area Log WUE g s
A mass 35.5 (32.8, 38.5) –1.7 (–1.8, –1.6) 5.3 (4.9, 5.8) 10.6 (9.7, 11.6) –1.2 (–1.3, –1.1) –0.4 (–0.5, –0.4) –2.8 (–3.1, –2.6) 1.8 (1.7, 2.0)
Aarea 0.348 (<0.001) 0.1 (0.04, 0.1) 0.2 (0.1, 0.2) 0.3 (0.3, 0.3) 0.03 (–0.04, –0.03) 14.7 (13.3, 16.2) –0.1 (–0.1, –0.1) 0.1 (0.1, 0.1)
Log LMA 0.337 (<0.001) 0.083 (<0.001) –3.2 (–3.5, –2.9) –6.3 (–6.9, –5.8) 0.7 (0.6, 0.8) 0.7 (0.7, 0.8) 1.7 (1.5, 1.8) 1.1 (1.0, 1.2)
Leaf N 0.286 (<0.001) 0.034 (<0.001) 0.222 (<0.001) 2.0 (1.9, 2.1) –0.2 (–0.2, –0.2) 2.2 (2.0, 2.4) –0.5 (–0.6, –0.5) –0.3 (–0.4, –0.3)
Leaf C 0.200 (<0.001) 0.004 (0.102) 0.233 (<0.001) 0.596 (<0.001) –0.1 (–0.1, –0.1) 4.4 (4.0, 4.8) –0.3 (–0.3, –0.2) –0.2 (–0.2, –0.2)
Log leaf C:N 0.286 (<0.001) 0.056 (<0.001) 0.181 (<0.001) 0.97 (<0.001) 0.466 (<0.001) –0.5 (–0.5, –0.4) 2.4 (2.2, 2.7) –1.6 (–1.7, –1.4)
Log leaf area 0.0002 (0.767) 0.019 (0.006) 0.029 (0.001) 0.076 (<0.001) 0.166 (<0.001) 0.051 (<0.001) 1.2 (1.1, 1.3) –0.8 (–0.8, –0.7)
Log WUE 0.186 (<0.001) 0.022 (0.002) 0.171 (<0.001) 0.0002 (0.403) 0.001 (0.29) 0.00003 (0.456) 0.08 (<0.001) –0.7 (–0.7, –0.6)
g s 0.144
(<0.001)
0.295 (<0.001) 0.005 (0.079) 0.001 (0.291) 0.025 (0.001) 0.0001 (0.435) 0.003 (0.269) 0.14 (<0.001)

Values in the table above the diagonal correspond to the slope of the relationship (with 95 % confidence limits in parentheses), which are based on a standardized major axis (SMA) regression model. Values below the diagonal correspond to the r2 (and P-values in parentheses) associated with each SMA model, with significant relationships highlighted in bold.

Samples sizes for SMA models are n = 402 in all cases, except for correlations involving log water use efficiency (WUE) and stomatal conductance (gs) here n = 309.