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Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species

Overview of attention for article published in PLOS ONE, October 2013
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Title
Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0076432
Pubmed ID
Authors

Marco A. Molina-Montenegro, Cristian Salgado-Luarte, Rómulo Oses, Cristian Torres-Díaz

Abstract

Is physiological performance a suitable proxy of fitness in plants? Although, several studies have been conducted to measure some fitness-related traits and physiological performance, direct assessments are seldom found in the literature. Here, we assessed the physiology-fitness relationship using second-generation individuals of the invasive plant species Taraxacum officinale from 17 localities distributed in five continents. Specifically, we tested if i) the maximum quantum yield is a good predictor for seed-output ii) whether this physiology-fitness relationship can be modified by environmental heterogeneity, and iii) if this relationship has an adaptive consequence for T. officinale individuals from different localities. Overall, we found a significant positive relationship between the maximum quantum yield and fitness for all localities evaluated, but this relationship decreased in T. officinale individuals from localities with greater environmental heterogeneity. Finally, we found that those individuals from localities where environmental conditions are highly seasonal performed better under heterogeneous environmental conditions. Contrarily, under homogeneous controlled conditions, those individuals from localities with low environmental seasonality performed much better. In conclusion, our results suggest that the maximum quantum yield seem to be good predictors for plant fitness. We suggest that rapid measurements, such as those obtained from the maximum quantum yield, could provide a straightforward proxy of individual's fitness in changing environments.

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Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 24%
Student > Master 12 19%
Researcher 11 18%
Student > Bachelor 3 5%
Professor 3 5%
Other 9 15%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 39%
Environmental Science 11 18%
Biochemistry, Genetics and Molecular Biology 6 10%
Earth and Planetary Sciences 2 3%
Physics and Astronomy 2 3%
Other 7 11%
Unknown 10 16%