Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/26688
Title: Net Assimilation Rate Determines the Growth Rates of 14 Species of Subtropical Forest Trees
Contributor(s): Li, Xuefei (author); Schmid, Bernhard (author); Wang, Fei (author); Paine, C E Timothy  (author)orcid 
Publication Date: 2016-03
Open Access: Yes
DOI: 10.1371/journal.pone.0150644Open Access Link
Handle Link: https://hdl.handle.net/1959.11/26688
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.
Publication Type: Journal Article
Source of Publication: PLoS One, 11(3), p. 1-13
Publisher: Public Library of Science
Place of Publication: United States of America
ISSN: 1932-6203
Fields of Research (FoR) 2008: 060202 Community Ecology (excl. Invasive Species Ecology)
Fields of Research (FoR) 2020: 310302 Community ecology (excl. invasive species ecology)
Socio-Economic Objective (SEO) 2008: 960806 Forest and Woodlands Flora, Fauna and Biodiversity
Socio-Economic Objective (SEO) 2020: 180606 Terrestrial biodiversity
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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