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Dominant Species in Subtropical Forests Could Decrease Photosynthetic N Allocation to Carboxylation and Bioenergetics and Enhance Leaf Construction Costs during Forest Succession

Overview of attention for article published in Frontiers in Plant Science, February 2018
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Title
Dominant Species in Subtropical Forests Could Decrease Photosynthetic N Allocation to Carboxylation and Bioenergetics and Enhance Leaf Construction Costs during Forest Succession
Published in
Frontiers in Plant Science, February 2018
DOI 10.3389/fpls.2018.00117
Pubmed ID
Authors

Yihua Xiao, Shirong Liu, Fuchun Tong, Bufeng Chen, Yuanwen Kuang

Abstract

It is important to understand how eco-physiological characteristics shift in forests when elucidating the mechanisms underlying species replacement and the process of succession and stabilization. In this study, the dominant species at three typical successional stages (early-, mid-, and late-succession) in the subtropical forests of China were selected. At each stage, we compared the leaf construction costs (CC), payback time (PBT), leaf area based N content (NA), maximum CO2assimilation rate (Pmax), specific leaf area (SLA), photosynthetic nitrogen use efficiency (PNUE), and leaf N allocated to carboxylation (NC), and to bioenergetics (NB). The relationships between these leaf functional traits were also determined. The results showed that the early-succession forest is characterized with significantly lower leaf CC, PBT,NA, but higherPmax, SLA, PNUE,NC, andNB, in relation to the late-succession forest. From the early- to the late-succession forests, the relationship betweenPmaxand leaf CC strengthened, whereas the relationships betweenNB,NC, PNUE, and leaf CC weakened. Thus, the dominant species are able to decrease the allocation of the photosynthetic N fraction to carboxylation and bioenergetics during forest succession. The shift in these leaf functional traits and their linkages might represent a fundamental physiological mechanism that occurs during forest succession and stabilization.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 13%
Student > Master 2 13%
Professor > Associate Professor 2 13%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Environmental Science 3 19%
Psychology 1 6%
Social Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 6 38%
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 17 March 2018.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from Frontiers in Plant Science
#16,447
of 20,564 outputs
Outputs of similar age
#377,302
of 439,460 outputs
Outputs of similar age from Frontiers in Plant Science
#385
of 439 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,564 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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