Plant water potential improves prediction of empirical stomatal models
Plant water potential improves prediction of empirical stomatal models
About this item
Full title
Author / Creator
Anderegg, William R L , Wolf, Adam , Arango-Velez, Adriana , Choat, Brendan , Chmura, Daniel J , Jansen, Steven , Kolb, Thomas , Li, Shan , Meinzer, Frederick , Pita, Pilar , Resco de Dios, Víctor , Sperry, John S , Wolfe, Brett T , Pacala, Stephen , Univ. of Utah, Salt Lake City, UT (United States) and Smithsonian Tropical Research Institute, Panama City (Panama)
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
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 wo...
Alternative Titles
Full title
Plant water potential improves prediction of empirical stomatal models
Authors, Artists and Contributors
Author / Creator
Wolf, Adam
Arango-Velez, Adriana
Choat, Brendan
Chmura, Daniel J
Jansen, Steven
Kolb, Thomas
Li, Shan
Meinzer, Frederick
Pita, Pilar
Resco de Dios, Víctor
Sperry, John S
Wolfe, Brett T
Pacala, Stephen
Univ. of Utah, Salt Lake City, UT (United States)
Smithsonian Tropical Research Institute, Panama City (Panama)
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_1950430005
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1950430005
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0185481
