Abstract. Vertical profiles in leaf mass per unit leaf area (M A ), foliar 13 C composition (δ 13 C), nitrogen (N), phosphorus (P), carbon (C) and major cation concentrations were estimated for 204 rain forest trees growing in 57 sites across the Amazon Basin. Data was analysed using a multilevel modelling approach, allowing a separation of gradients within individual tree canopies (within-tree gradients) as opposed to stand level gradients occurring because of systematic differences occurring between different trees of different heights (between-tree gradients). Significant positive within-tree gradients (i.e. increasing values with increasing sampling height) were observed for M A and [C] DW (the subscript denoting on a dry weight basis) with negative within-tree gradients observed for δ 13 C, [Mg] Significant differences in within-tree gradients between individuals were observed only for M A , δ 13 C and [P] A . This was best associated with the overall average [P] A for each tree, this also being considered to be a surrogate for a tree's average leaf area based photosynthetic capacity, A max . A new model is presented which is in agreement with the above observations. The model predicts that trees characterised by a low upper canopy A max should have shallow, or even non-existent, within-canopy gradients in A max , with optimal intra-canopy gradients becoming sharper as a tree's Published by Copernicus Publications on behalf of the European Geosciences Union. upper canopy A max increases. Nevertheless, in all cases it is predicted that the optimal within-canopy gradient in A max should be substantially less than for photon irradiance. Although this is also shown to be consistent with numerous observations as illustrated by a literature survey of gradients in photosynthetic capacity for broadleaf trees, it is also in contrast to previously held notions of optimality. A new equation relating gradients in photosynthetic capacity within broadleaf tree canopies to the photosynthetic capacity of their upper canopy leaves is presented.