Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global scale. This knowledge provides insight into how plants have adapted to different environmental pressures, and will lead to better calibration of future vegetation-climate models. Location The data set represents vegetation from 175 sites around the world. Methods For more than 2500 vascular plant species, we compiled data on leaf mass per area (LMA), leaf life span (LL), nitrogen concentration (
Knowledge of leaf chemistry, physiology, and life span is essential for global vegetation modeling, ...
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...
Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global s...
Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global ...
• Global-scale quantification of relationships between plant traits gives insight into the evolution...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
• Global-scale quantification of relationships between plant traits gives insight into the evolution...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
• Global-scale quantification of relationships between plant traits gives insight into the evolution...
Knowledge of leaf chemistry, physiology, and life span is essential for global vegetation modeling, ...
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...
Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global s...
Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global ...
• Global-scale quantification of relationships between plant traits gives insight into the evolution...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
• Global-scale quantification of relationships between plant traits gives insight into the evolution...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first ti...
• Global-scale quantification of relationships between plant traits gives insight into the evolution...
Knowledge of leaf chemistry, physiology, and life span is essential for global vegetation modeling, ...
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...