The Allometry of Coarse Root Biomass: Log-Transformed Linear Regression or Nonlinear Regression?

doi:10.1371/journal.pone.0077007

	The Allometry of Coarse Root Biomass: Log-Transformed Linear Regression or Nonlinear Regression?
	Lai, Jiangshan ; Yang, Bo 1; Lin, Dunmei 1; Kerkhoff, Andrew J.; Ma, Keping
	2013
发表期刊	PLOS ONE
ISSN	1932-6203
卷号	8 期号:10
摘要	Precise estimation of root biomass is important for understanding carbon stocks and dynamics in forests. Traditionally, biomass estimates are based on allometric scaling relationships between stem diameter and coarse root biomass calculated using linear regression (LR) on log-transformed data. Recently, it has been suggested that nonlinear regression (NLR) is a preferable fitting method for scaling relationships. But while this claim has been contested on both theoretical and empirical grounds, and statistical methods have been developed to aid in choosing between the two methods in particular cases, few studies have examined the ramifications of erroneously applying NLR. Here, we use direct measurements of 159 trees belonging to three locally dominant species in east China to compare the LR and NLR models of diameter-root biomass allometry. We then contrast model predictions by estimating stand coarse root biomass based on census data from the nearby 24-ha Gutianshan forest plot and by testing the ability of the models to predict known root biomass values measured on multiple tropical species at the Pasoh Forest Reserve in Malaysia. Based on likelihood estimates for model error distributions, as well as the accuracy of extrapolative predictions, we find that LR on log-transformed data is superior to NLR for fitting diameter-root biomass scaling models. More importantly, inappropriately using NLR leads to grossly inaccurate stand biomass estimates, especially for stands dominated by smaller trees.
学科领域	Multidisciplinary Sciences
DOI	10.1371/journal.pone.0077007
收录类别	SCI
语种	英语
WOS关键词	BREAST-HEIGHT DIAMETERS ; NET PRIMARY PRODUCTION ; PREDICTING BODY-MASS ; FAGUS-SYLVATICA L. ; LOGARITHMIC TRANSFORMATIONS ; ABOVEGROUND BIOMASS ; FOREST ECOSYSTEMS ; TROPICAL FORESTS ; METABOLIC-RATES ; SYSTEM BIOMASS
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000325552200094
出版者	PUBLIC LIBRARY SCIENCE
文献子类	Article
出版地	SAN FRANCISCO
资助机构	National Natural Science Foundation of China(National Natural Science Foundation of China (NSFC)) ; Strategic Priority Research Program of the Chinese Academy of Sciences(Chinese Academy of Sciences) ; Kenyon College ; NSF Research Opportunity Award(National Science Foundation (NSF))
作者邮箱	Lai, Jiangshan/HMP-3513-2023
作品OA属性	Green Accepted, Green Submitted, Green Published, gold
引用统计	被引频次：37[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/27813
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Kerkhoff, Andrew J.] Kenyon Coll, Dept Biol, Gambier, OH 43022 USA 4.Kerkhoff, Andrew J.] Kenyon Coll, Dept Math & Stat, Gambier, OH 43022 USA
推荐引用方式 GB/T 7714	Lai, Jiangshan,Yang, Bo,Lin, Dunmei,et al. The Allometry of Coarse Root Biomass: Log-Transformed Linear Regression or Nonlinear Regression?[J]. PLOS ONE,2013,8(10).
APA	Lai, Jiangshan,Yang, Bo,Lin, Dunmei,Kerkhoff, Andrew J.,&Ma, Keping.(2013).The Allometry of Coarse Root Biomass: Log-Transformed Linear Regression or Nonlinear Regression?.PLOS ONE,8(10).
MLA	Lai, Jiangshan,et al."The Allometry of Coarse Root Biomass: Log-Transformed Linear Regression or Nonlinear Regression?".PLOS ONE 8.10(2013).

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