Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22984
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
Author(s): Li, Xuefei
Schmid, Bernhard
Wang, Fei
Paine, C E Timothy
Contact Email: c.e.t.paine@stir.ac.uk
Issue Date: 8-Mar-2016
Date Deposited: 17-Mar-2016
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. https://doi.org/10.1371/journal.pone.0150644
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.
DOI Link: 10.1371/journal.pone.0150644
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.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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