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Chlorophyll fluorescence varies more across seasons than leaf water potential in drought-prone plants

Overview of attention for article published in Anais da Academia Brasileira de Ciências, April 2016
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Title
Chlorophyll fluorescence varies more across seasons than leaf water potential in drought-prone plants
Published in
Anais da Academia Brasileira de Ciências, April 2016
DOI 10.1590/0001-3765201620150013
Pubmed ID
Authors

BRUNO H.P. ROSADO, EDUARDO A. DE MATTOS

Abstract

Among the effects of environmental change, the intensification of drought events is noteworthy, and tropical vegetation is predicted to be highly vulnerable to it. However, it is not clear how tropical plants in drought-prone habitats will respond to this change. In a coastal sandy plain environment, we evaluated the response of six plant species to water deficits across seasons, the relationship between their morpho-physiological traits, and which traits would be the best descriptors of plants' response to drought. Regardless of leaf succulence and phenology, responses between seasons were most strongly related to chlorophyll fluorescence. In this study we have demonstrated that a better comprehension of how tropical species from drought-prone habitats cope with changes in water availability can be based on seasonal variation in leaf water potential and chlorophyll fluorescence. Temporal variation in leaf water potential and chlorophyll fluorescence was found useful for differentiating between groups of sandy soil species that are responsive or unresponsive to water availability. However, chlorophyll fluorescence appeared to be a more sensitive descriptor of their seasonal and short-term responses.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 21%
Student > Doctoral Student 5 13%
Student > Ph. D. Student 5 13%
Student > Master 5 13%
Professor 2 5%
Other 4 10%
Unknown 10 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 49%
Environmental Science 6 15%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Materials Science 1 3%
Other 1 3%
Unknown 10 26%