Fig. 3: Results from Bayesian piecewise structural equation models. | Communications Biology

Fig. 3: Results from Bayesian piecewise structural equation models.

From: Integrating multiple plant functional traits to predict ecosystem productivity

Fig. 3

Bayesian piecewise structural equation models exploring the direct and indirect effects of environmental factors and traits on gross primary productivity (GPP) across all sites: (a) yearly GPP (GPPyearly) and (b) monthly GPP (GPPmonthly). PC 1 and PC 2: the first two principal components (PCs) of the corresponding variables; Traitquantity and Traitefficiency: quantity and efficiency traits, respectively; GSL: length of the growing season (months); βstd: standardized path coefficients; black and red arrows: positive and negative relationships, respectively; solid and dotted lines: significant and non-significant effects, respectively; arrow width is proportional to the strength of the relationship; LOOIC: leave-one-out cross-validation information criterion; ELPD, expected log predictive density.

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