Literature DB >> 20836445

Plant geography upon the basis of functional traits: an example from eastern North American trees.

Nathan G Swenson1, Michael D Weiser.   

Abstract

Plant geographers have sought for decades to describe and predict the geographic distribution of vegetation types on the basis of plant function and its relationship with the abiotic environment. Traditionally this has been accomplished using categorical representations such as plant functional types. Increasingly, plant functional ecologists have sought to refine categorical functional types via quantitative functional traits in order to understand the ecological implications of trade-offs in plant form and function. Fewer works have focused upon testing whether commonly measured functional traits enhance our understanding of plant biogeography broadly and the geographic distribution of vegetation types in particular. Here we combine a continental-scale forest inventory data set containing 18 111 plots with a plant functional trait data set to ask: (1) Is there a strong relationship between the abiotic environment and the distribution of functional trait values in forest inventory plots? And (2) can different Holdridge life zones be distinguished upon the basis of their functional trait distributions? The results show geographic patterns of functional trait distributions that are often strongly correlated with climate and also show that the Holdridge life zones in the study area can be differentiated using a combination of functional traits.

Mesh:

Year:  2010        PMID: 20836445     DOI: 10.1890/09-1743.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  20 in total

1.  Deterministic tropical tree community turnover: evidence from patterns of functional beta diversity along an elevational gradient.

Authors:  Nathan G Swenson; Pedro Anglada-Cordero; John A Barone
Journal:  Proc Biol Sci       Date:  2010-09-22       Impact factor: 5.349

2.  A fully traits-based approach to modeling global vegetation distribution.

Authors:  Peter M van Bodegom; Jacob C Douma; Lieneke M Verheijen
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-15       Impact factor: 11.205

Review 3.  The emergence and promise of functional biogeography.

Authors:  Cyrille Violle; Peter B Reich; Stephen W Pacala; Brian J Enquist; Jens Kattge
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-15       Impact factor: 11.205

4.  Intraspecific trait variability shapes leaf trait response to altered fire regimes.

Authors:  Rachel M Mitchell; Greg M Ames; Justin P Wright
Journal:  Ann Bot       Date:  2021-03-24       Impact factor: 4.357

5.  Species' traits do not converge on optimum values in preferred habitats.

Authors:  Rachel M Mitchell; Justin P Wright; Greg M Ames
Journal:  Oecologia       Date:  2017-12-13       Impact factor: 3.225

6.  Altitudinal variations of ground tissue and xylem tissue in terminal shoot of woody species: implications for treeline formation.

Authors:  Hong Chen; Haiyang Wang; Yanfang Liu; Li Dong
Journal:  PLoS One       Date:  2013-04-26       Impact factor: 3.240

7.  Covariation in plant functional traits and soil fertility within two species-rich forests.

Authors:  Xiaojuan Liu; Nathan G Swenson; S Joseph Wright; Liwen Zhang; Kai Song; Yanjun Du; Jinlong Zhang; Xiangcheng Mi; Haibao Ren; Keping Ma
Journal:  PLoS One       Date:  2012-04-03       Impact factor: 3.240

8.  Tree height-diameter allometry across the United States.

Authors:  Catherine M Hulshof; Nathan G Swenson; Michael D Weiser
Journal:  Ecol Evol       Date:  2015-02-20       Impact factor: 2.912

9.  Community phylogenetics at the biogeographical scale: cold tolerance, niche conservatism and the structure of North American forests.

Authors:  Bradford A Hawkins; Marta Rueda; Thiago F Rangel; Richard Field; José Alexandre F Diniz-Filho; Peter Linder
Journal:  J Biogeogr       Date:  2014-01       Impact factor: 4.324

Review 10.  Opportunities and challenges in deriving phytoplankton diversity measures from individual trait-based data obtained by scanning flow-cytometry.

Authors:  Simone Fontana; Jukka Jokela; Francesco Pomati
Journal:  Front Microbiol       Date:  2014-07-01       Impact factor: 5.640

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