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. 2010 Mar 30;105(6):957–965. doi: 10.1093/aob/mcq066

Table 4.

Coefficient of determination and Akaike (AIC) value between the variations in above-ground dry matter productivity in response to changes in N supply and cutting frequency and trait values or trait plasticity (Δtraits)

Trait combination r2 AIC
(A) With trait values on average of CN+ treatment
 N supply SL, LL, LDMC, SLA, TD, BF 0·43 −20·52
 Cutting frequency VE, LL, SLA, CC, ME 0·64 −51·43
 N supply and cutting frequency NM, TD, ME 0·27 −27·87
(B) With traits plasticity (Δtraits)
 N supply ΔSL, ΔLDMC, ΔTD 0·60 −37·51
 Cutting frequency ΔNM, ΔLL, ΔLDMC, ΔEG 0·44 −37·72
 N supply and cutting frequency ΔNM, ΔSL, ΔTD, ΔLNCF 0·55 −43·17
(C) With all variables (traits values on average of CN+ treatment and traits plasticity)
 N supply SL, LL, SLA, CC, ΔNM, ΔSL, ΔCC, ΔTD 0·89 −64·85
 Cutting frequency NM, CC, ADF, ME, ΔADF 0·66 −53·63
 N supply and cutting frequency SL, SLA, CC, ME, ΔNM, ΔSL, ΔTD 0·68 −46·17
(D) With only the significant variables in the two previous simple regression analyses (see Table 3)
 N supply ΔLDMC, ΔTD, BF 0·58 − 43·53
 Cutting frequency NM, CC, ADF, ME, ΔADF 0·66 − 53·63
 N supply and cutting frequency VE, ME, ΔNM, ΔSL, ΔTD 0·60 − 46·33

The models selected are shown in bold (with the lowest AIC value and with the lowest number of traits). See Materials and methods for calculation of variation in ANPP and trait plasticity.

For trait abbreviations, see Table 1.