Please use this identifier to cite or link to this item:
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Net Assimilation Rate Determines the Growth Rates of 14 Species of Subtropical Forest Trees
Authors: Li, Xuefei
Schmid, Bernhard
Wang, Fei
Paine, C E Timothy
Contact Email:
Issue Date: 8-Mar-2016
Publisher: Public Library of Science
Citation: Li X, Schmid B, Wang F & Paine CET (2016) Net Assimilation Rate Determines the Growth Rates of 14 Species of Subtropical Forest Trees, PLoS ONE, 11 (3), Art. No.: e0150644.
Abstract: Growth rates are of fundamental importance for plants, as individual size affects myriad ecological processes. We determined the factors that generate variation in RGR among 14 species of trees and shrubs that are abundant in subtropical Chinese forests. We grew seedlings for two years at four light levels in a shade-house experiment. We monitored the growth of every juvenile plant every two weeks. After one and two years, we destructively harvested individuals and measured their functional traits and gas-exchange rates. After calculating individual biomass trajectories, we estimated relative growth rates using nonlinear growth functions. We decomposed the variance in log(RGR) to evaluate the relationships of RGR with its components: specific leaf area (SLA), net assimilation rate (NAR) and leaf mass ratio (LMR). We found that variation in NAR was the primary determinant of variation in RGR at all light levels, whereas SLA and LMR made smaller contributions. Furthermore, NAR was strongly and positively associated with area-based photosynthetic rate and leaf nitrogen content. Photosynthetic rate and leaf nitrogen concentration can, therefore, be good predictors of growth in woody species.
Type: Journal Article
DOI Link:
Rights: © 2016 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Affiliation: University of Zurich
University of Zurich
Chinese Academy of Sciences
Biological and Environmental Sciences

Files in This Item:
File Description SizeFormat 
Li et al_PlosOne_2016.PDF566.57 kBAdobe PDFView/Open

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.