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

• Published in: Ecology (Durham) 2010-08, Vol.91 (8), p.2234-2241
• Main Authors: Swenson, Nathan G, Weiser, Michael D
• Format: Article
• Language: English
• Subjects: Animal and plant ecology; Animal, plant and microbial ecology; Biogeography; Biological and medical sciences; Boreal forests; climate; Climate models; data collection; Demography; Ecological zones; Ecology; Ecosystem; Forest ecology; forest inventory; functional ecology; Fundamental and applied biological sciences. Psychology; General aspects; geographical distribution; Holdridge life zones; leaf percent nitrogen; Mathematical moments; maximum height; phytogeography; plant architecture; Plant ecology; Plant Leaves - chemistry; Plants; Population Density; precipitation; Quantitative traits; seed mass; Synecology; temperature; Trees; Trees - physiology; United States; Vegetation; vegetation types; Wood; Wood density
• ISSN: 0012-9658; 1939-9170
• DOI: 10.1890/09-1743.1

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.