Fig. 5: Variance partitioning of the independent-effects analysis applied to the annual and monthly gross primary productivity (GPPyearly and GPPmonthly) models. | Communications Biology

Fig. 5: Variance partitioning of the independent-effects analysis applied to the annual and monthly gross primary productivity (GPPyearly and GPPmonthly) models.

From: Integrating multiple plant functional traits to predict ecosystem productivity

Fig. 5

GPPyearly: yearly GPP model (GPPyearly ~ MIgs + Tgs + Soilpc1 + Traitquantity + Traitefficiency + GSL). GPPmonthly: monthly GPP model (GPPmonthly ~ MIgs + Tgs + Soilpc1 + Traitquantity + Traitefficiency). PC 1 and PC 2: first two principal components (PCs) of the corresponding factors; Traitquantity and Traitefficiency: quantity and efficiency traits, respectively; GSL: growing season length (months). MIgs and Tgs: growing season moisture index and temperature, respectively. n values in brackets: number of observations for the corresponding group.

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