Data from: Plant water potential improves prediction of empirical stomatal models

William R. L. Anderegg, Stephen Pacala, John S. Sperry, Brendan Choat, Daniel J. Chmura, Thomas Kolb, Frederick Meinzer, Pilar Pita, Víctor Resco De Dios & Brett T. Wolfe
Climate change is expected to lead to increases in drought frequency and severity, with deleterious effects on many ecosystems. Stomatal responses to changing environmental conditions form the backbone of all ecosystem models, but are based on empirical relationships and are not well-tested during drought conditions. Here, we use a dataset of 34 woody plant species spanning global forest biomes to examine the effect of leaf water potential on stomatal conductance and test the predictive accuracy...
1 citation reported since publication in 2018.
86 views reported since publication in 2018.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?
26 downloads reported since publication in 2018.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?