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Intraspecific variability in functional traits matters: case study of Scots pine

Overview of attention for article published in Oecologia, May 2014
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Title
Intraspecific variability in functional traits matters: case study of Scots pine
Published in
Oecologia, May 2014
DOI 10.1007/s00442-014-2967-x
Pubmed ID
Authors

Isabelle Laforest-Lapointe, Jordi Martínez-Vilalta, Javier Retana

Abstract

Although intraspecific trait variability is an important component of species ecological plasticity and niche breadth, its implications for community and functional ecology have not been thoroughly explored. We characterized the intraspecific functional trait variability of Scots pine (Pinus sylvestris) in Catalonia (NE Spain) in order to (1) compare it to the interspecific trait variability of trees in the same region, (2) explore the relationships among functional traits and the relationships between them and stand and climatic variables, and (3) study the role of functional trait variability as a determinant of radial growth. We considered five traits: wood density (WD), maximum tree height (H max), leaf nitrogen content (Nmass), specific leaf area (SLA), and leaf biomass-to-sapwood area ratio (B L:A S). A unique dataset was obtained from the Ecological and Forest Inventory of Catalonia (IEFC), including data from 406 plots. Intraspecific trait variation was substantial for all traits, with coefficients of variation ranging between 8 % for WD and 24 % for B L:A S. In some cases, correlations among functional traits differed from those reported across species (e.g., H max and WD were positively related, whereas SLA and Nmass were uncorrelated). Overall, our model accounted for 47 % of the spatial variability in Scots pine radial growth. Our study emphasizes the hierarchy of factors that determine intraspecific variations in functional traits in Scots pine and their strong association with spatial variability in radial growth. We claim that intraspecific trait variation is an important determinant of responses of plants to changes in climate and other environmental factors, and should be included in predictive models of vegetation dynamics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Panama 1 <1%
Canada 1 <1%
Unknown 162 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 27%
Researcher 42 25%
Student > Master 19 11%
Student > Doctoral Student 9 5%
Professor 7 4%
Other 15 9%
Unknown 29 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 40%
Environmental Science 46 28%
Earth and Planetary Sciences 8 5%
Biochemistry, Genetics and Molecular Biology 3 2%
Engineering 2 1%
Other 6 4%
Unknown 34 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2014.
All research outputs
#13,410,616
of 22,758,963 outputs
Outputs from Oecologia
#2,919
of 4,210 outputs
Outputs of similar age
#110,473
of 226,259 outputs
Outputs of similar age from Oecologia
#22
of 39 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,210 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 29th percentile – i.e., 29% 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 226,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.