Functional traits of the understory plant community of a pyrogenic longleaf pine forest across environmental gradients. Issue 8 (22nd June 2017)

• Record Type: Journal Article
• Authors: Ames, Gregory M.; Anderson, Steven M.; Ungberg, Eric A.; Wright, Justin P.
• Is Part Of: Ecology. Volume 98:Issue 8(2017)
• Page Start: 2225
• Page End: 2225
• Publication Date: 2017-06-22
• Subjects: environmental gradients -- functional diversity -- functional traits -- intraspecific variability -- interspecific variability -- longleaf pine savanna -- plant traits -- trait database; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecy.1886
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract: Understanding and predicting the response of plant communities to environmental changes and disturbances such as fire requires an understanding of the functional traits present in the system, including within and across species variability, and their dynamics over time. These data are difficult to obtain as few studies provide comprehensive information for more than a few traits or species, rarely cover more than a single growing season, and usually present only summary statistics of trait values. As part of a larger study seeking to understand the dynamics of plant communities in response to different prescribed fire regimes, we measured the functional traits of the understory plant communities located in over 140 permanent plots spanning strong gradients in soil moisture in a pyrogenic longleaf pine forest in North Carolina, USA, over a four‐year period from 2011 and 2014. We present over 120, 000 individual trait measurements from over 130 plant species representing 91 genera from 47 families. We include data on the following 18 traits: specific leaf area, leaf dry matter content, leaf area, leaf length, leaf width, leaf perimeter, plant height, leaf nitrogen, leaf carbon, leaf carbon to nitrogen ratio, water use efficiency, time to ignition, maximum flame height, maximum burn temperature, mass‐specific burn time, mass‐specific smolder time, branching architecture, and the ratio of leaf matter consumed by fire. We also include information on locations, soil moisture, relative elevation, soil bulk density, and fire histories for each site.