In our recently published paper, led by postdoc Dong Ning, we tested the general hypothesis that acclimation/adaptation within species, and selection among species, combine to create predictable relationships between plant functional traits and environmental factors across 705 species from 116 sites. The paper is co-authored by Ian Wright, Colin Prentice, and colleagues, and uses data from a broad north-south transect in Australia that runs from temperate woodlands in the south, through extensive semi-arid and arid lands in the centre to tropical savannas in the north.

TERN Ecosystem Surveillance plots used in this research
This work provides theoretical and empirical unifying explanations for relationships between key traits and site environment. Excerpt from the paper:
“Leaf area, the leaf economics spectrum (indexed by LMA and Narea), and χ (from stable carbon isotope ratios) varied almost independently among species. Across sites, however, χ and LA increased with mean growing-season temperature (mGDD0) and decreased with vapour pressure deficit (mVPD0) and soil pH. LMA and Narea showed the reverse pattern. Climate responses agreed with expectations based on optimality principles.”
In addition, we quantified the proportion of geographic trait variation accounted for by within-species acclimation/adaptation versus species turnover, providing new insight into eco-evolutionary processes. Excerpt:
“Within-species variability contributed <10% to geographic variation in LA but >90% for χ, with LMA and Narea intermediate”

Figure 4. Trait gradient analysis of key leaf traits. [see paper for full caption]
In short, our results represent a significant advance in fundamental plant ecology, which will be key to constructing a new generation of global vegetation models with a basis in continuous trait variation, instead of discrete plant functional types.
Dong N, Prentice IC, Wright IJ, Evans BJ, Togashi HF, Caddy-Retalic S, McInerney FA, Sparrow B, Leitch E, Lowe AJ. 2020. Components of leaf-trait variation along environmental gradients. New Phytologist 228:82-94.
Read the paper here: https://doi.org/10.1111/nph.16558