Traits of dominant tree species predict local scale variation in forest aboveground and topsoil carbon stocks

doi:10.1007/s11104-016-2976-0

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	Traits of dominant tree species predict local scale variation in forest aboveground and topsoil carbon stocks
	Lin, Dunmei 2,3; Anderson-Teixeira, Kristina J.; Lai, Jiangshan 2; Mi, Xiangcheng 2; Ren, Haibao 2; Ma, Keping 2
刊名	PLANT AND SOIL
	2016
卷号	409 期号:1-2
关键词	Carbon stocks Biodiversity and ecosystem functioning Functional trait Functional diversity Mass ratio hypothesis Niche complementarity
ISSN号	0032-079X
DOI	10.1007/s11104-016-2976-0
文献子类	Article
英文摘要	Forests play a vital role in regulation of the global carbon cycle. Mechanistically understanding how their ecosystem functioning relates to biodiversity is necessary for predicting the consequences of biodiversity loss and for setting conservation priorities. Here, we test whether carbon stocks in a subtropical evergreen broad-leaved forest in China are more strongly influenced by plant functional diversity (FD), as would be predicted by the 'niche complementarity hypothesis', or by community-weighted mean (CWM) functional trait values, as would be predicted by the 'mass ratio hypothesis'. Using data from a 24-ha plot subdivided into 400 m(2) quadrats, we determined relationships of aboveground carbon (AGC) and topsoil (1-10 cm) organic carbon (SOC) to topographic variables, stem density, CWM and FD of six functional traits hypothesized to influence carbon stocks. After accounting for topographic variables and tree stem density, boosted regression tree models revealed that CWMs were the dominant driving factors for both AGC and SOC, whereas FD had negligible effects. AGC and SOC were influenced by different functional traits, with AGC responding most strongly to CWM values for wood density and maximum tree height, and SOC responding most strongly to elevation, indicating that these carbon stocks are shaped by different underlying mechanisms. Our results support the mass ratio hypothesis but not the niche complementarity hypothesis. Our study implies that, when it comes to maximizing forest carbon storage, conservation priorities should focus on protection of species with traits associated to high carbon stocks.
学科主题	Agronomy ; Plant Sciences ; Soil Science
电子版国际标准刊号	1573-5036
出版地	DORDRECHT
WOS关键词	PLANT FUNCTIONAL DIVERSITY ; BROAD-LEAVED FOREST ; SOIL CARBON ; ECONOMICS SPECTRUM ; ECOSYSTEM SERVICES ; TROPICAL FORESTS ; PHYLOGENETIC DIVERSITY ; BIODIVERSITY ; STORAGE ; PRODUCTIVITY
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000390034900030
资助机构	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31270496] ; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [106112015CDJXY210012] ; 111 ProjectMinistry of Education, China - 111 Project [B13041] ; Direct For Biological SciencesNational Science Foundation (NSF)NSF - Directorate for Biological Sciences (BIO) [1354741] Funding Source: National Science Foundation ; Division Of Environmental BiologyNational Science Foundation (NSF)NSF - Directorate for Biological Sciences (BIO) [1545761] Funding Source: National Science Foundation
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/24482]
专题	植被与环境变化国家重点实验室
作者单位	1.Anderson-Teixeira, Kristina J.] Smithsonian Conservat Biol Inst, Conservat Ecol Ctr, Front Royal, VA USA 2.Chongqing Univ, Key Lab Gorges Reservoir Reg Ecoenvironm 3, Minist Educ, Chongqing 400045, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 4.Chongqing Univ, Natl Ctr Int Res Low Carbon & Green Buildings, Chongqing 400045, Peoples R China 5.Anderson-Teixeira, Kristina J.] Smithsonian Trop Res Inst, Ctr Trop Forest Sci Forest Global Earth Observ, Panama City, Panama
推荐引用方式 GB/T 7714	Lin, Dunmei,Anderson-Teixeira, Kristina J.,Lai, Jiangshan,et al. Traits of dominant tree species predict local scale variation in forest aboveground and topsoil carbon stocks[J]. PLANT AND SOIL,2016,409(1-2).
APA	Lin, Dunmei,Anderson-Teixeira, Kristina J.,Lai, Jiangshan,Mi, Xiangcheng,Ren, Haibao,&Ma, Keping.(2016).Traits of dominant tree species predict local scale variation in forest aboveground and topsoil carbon stocks.PLANT AND SOIL,409(1-2).
MLA	Lin, Dunmei,et al."Traits of dominant tree species predict local scale variation in forest aboveground and topsoil carbon stocks".PLANT AND SOIL 409.1-2(2016).