↓ Skip to main content

Seasonality and phenology alter functional leaf traits

Overview of attention for article published in Oecologia, December 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
161 Mendeley
Title
Seasonality and phenology alter functional leaf traits
Published in
Oecologia, December 2012
DOI 10.1007/s00442-012-2531-5
Pubmed ID
Authors

Athena D. McKown, Robert D. Guy, M. Shofiul Azam, Eric C. Drewes, Linda K. Quamme

Abstract

In plant ecophysiology, functional leaf traits are generally not assessed in relation to phenological phase of the canopy. Leaf traits measured in deciduous perennial species are known to vary between spring and summer seasons, but there is a knowledge gap relating to the late-summer phase marked by growth cessation and bud set occurring well before fall leaf senescence. The effects of phenology on canopy physiology were tested using a common garden of over 2,000 black cottonwood (Populus trichocarpa) individuals originating from a wide geographical range (44-60ºN). Annual phenological events and 12 leaf-based functional trait measurements were collected spanning the entire summer season prior to, and following, bud set. Patterns of seasonal trait change emerged by synchronizing trees using their date of bud set. In particular, photosynthetic, mass, and N-based traits increased substantially following bud set. Most traits were significantly different between pre-bud set and post-bud set phase trees, with many traits showing at least 25% alteration in mean value. Post-bud set, both the significance and direction of trait-trait relationships could be modified, with many relating directly to changes in leaf mass. In Populus, these dynamics in leaf traits throughout the summer season reflected a shift in whole plant physiology, but occurred long before the onset of leaf senescence. The marked shifts in measured trait values following bud set underscores the necessity to include phenology in trait-based ecological studies or large-scale phenotyping efforts, both at the local level and larger geographical scale.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Czechia 1 <1%
Brazil 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 153 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 25%
Researcher 23 14%
Student > Master 20 12%
Professor 11 7%
Student > Bachelor 10 6%
Other 26 16%
Unknown 30 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 43%
Environmental Science 34 21%
Earth and Planetary Sciences 11 7%
Biochemistry, Genetics and Molecular Biology 7 4%
Unspecified 1 <1%
Other 2 1%
Unknown 37 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 July 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from Oecologia
#3,637
of 4,205 outputs
Outputs of similar age
#215,381
of 277,475 outputs
Outputs of similar age from Oecologia
#22
of 30 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,205 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 277,475 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.