Bayesian analysis for uncertainty estimation of a canopy transpiration model

By S. Samanta, D. S. Mackay, M. K. Clayton, Eric L. Kruger, Brent E. Ewers. 2007

47 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/f1236bba5f3f19c1b91ae0c89c05871002739574

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. W. Pockman
2. Nathan G. McDowell
3. J. Sperry
4. H. Cochard
5. Uwe G Hacke
6. L. Sack
7. Henrik Hartmann
8. Tim J. Brodribb

In Nature and Landscape Conservation

1. Nathan G. McDowell
2. J. Sperry
3. W. Pockman

Citations in the corpus

• Interdependence of chronic hydraulic dysfunction and canopy processes can improve integrated models of tree response to drought (2015, methodology): “At step (3), for both sun and shade elements, canopy conductance, GL, was computed from GLC and aerodynamic conductance, GA [Samanta et al., 2007], and then GL was used to compute sun and shade transpiration using the Penman-Monteith equation [Mackay et al., 2012].”