Aim: The influence of soil properties on photosynthetic traits in higher plants is poorly quantified in comparison with that of climate. We address this situation by quantifying the unique and joint contributions to global leaf-trait variation from soils and climate. Location: Terrestrial ecosystems world-wide. Methods: Using a trait dataset comprising 1509 species from 288 sites, with climate and soil data derived from global datasets, we quantified the effects of 20 soil and 26 climate variables on light-saturated photosynthetic rate (Aarea), stomatal conductance (gs), leaf nitrogen and phosphorus (Narea and Parea) and specific leaf area (SLA) using mixed regression models and multivariate analyses. Results: Soil variables were stronger p...
Photosynthetic “least‐cost” theory posits that the optimal trait combination for a given environment...
Photosynthetic ‘least-cost’ theory posits that the optimal trait combination for a given environment...
"Least-cost theory" posits that C3 plants should balance rates of photosynthetic water loss and carb...
Aim: The influence of soil properties on photosynthetic traits in higher plants is poorly quantified...
Aim: The influence of soil properties on photosynthetic traits in higher plants is poorly quantified...
Aim: This first global quantification of the relationship between leaf traits and soil nutrient fert...
Plant functional traits can predict community assembly and ecosystem functioning and are thus widely...
Abstract “Least-cost theory” posits that C3 plants should balance rates of photosynthetic water lo...
There is huge uncertainty about how global exchanges of carbon between the atmosphere and land will ...
Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global ...
Knowledge of leaf chemistry, physiology, and life span is essential for global vegetation modeling, ...
Photosynthetic “least‐cost” theory posits that the optimal trait combination for a given environment...
Photosynthetic ‘least-cost’ theory posits that the optimal trait combination for a given environment...
"Least-cost theory" posits that C3 plants should balance rates of photosynthetic water loss and carb...
Aim: The influence of soil properties on photosynthetic traits in higher plants is poorly quantified...
Aim: The influence of soil properties on photosynthetic traits in higher plants is poorly quantified...
Aim: This first global quantification of the relationship between leaf traits and soil nutrient fert...
Plant functional traits can predict community assembly and ecosystem functioning and are thus widely...
Abstract “Least-cost theory” posits that C3 plants should balance rates of photosynthetic water lo...
There is huge uncertainty about how global exchanges of carbon between the atmosphere and land will ...
Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global ...
Knowledge of leaf chemistry, physiology, and life span is essential for global vegetation modeling, ...
Photosynthetic “least‐cost” theory posits that the optimal trait combination for a given environment...
Photosynthetic ‘least-cost’ theory posits that the optimal trait combination for a given environment...
"Least-cost theory" posits that C3 plants should balance rates of photosynthetic water loss and carb...