Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Gregory P. Asner; Roberta E. Martin; Raul Tupayachi; Ruth Emerson; Paola Martinez; Felipe Sinca; George V.N. Powell; S. Joseph Wright; Ariel E. Lugo
    Date: 2011
    Source: Ecological Applications. 21(1): 85-98.
    Publication Series: Scientific Journal (JRNL)
    Station: International Institute of Tropical Forestry
    PDF: Download Publication  (1.31 MB)


    Leaf mass per area (LMA) is a trait of central importance to plant physiology and ecosystem function, but LMA patterns in the upper canopies of humid tropical forests have proved elusive due to tall species and high diversity. We collected top-of-canopy leaf samples from 2873 individuals in 57 sites spread across the Neotropics, Australasia, and Caribbean and Pacific Islands to quantify environmental and taxonomic drivers of LMA variation, and to advance remote-sensing measures of LMA. We uncovered strong taxonomic organization of LMA, with species accounting for 70% of the global variance and up to 62% of the variation within a forest stand. Climate, growth habit, and site conditions are secondary contributors (1–23%) to the observed LMA patterns. Intraspecific variation in LMA averages 16%, which is a fraction of the variation observed between species. We then used spectroscopic remote sensing (400–2500 nm) to estimate LMA with an absolute uncertainty of 14–15 g/m2 (r2 ΒΌ 0.85), or ;10% of the global mean. With radiative transfer modeling, we demonstrated the scalability of spectroscopic remote sensing of LMA to the canopy level. Our study indicates that remotely sensed patterns of LMA will be driven by taxonomic variation against a backdrop of environmental controls expressed at site and regional levels.

    Publication Notes

    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.


    Asner, Gregory P.; Martin, Roberta E.; Tupayachi, Raul; Emerson, Ruth; Martinez, Paola; Sinca, Felipe; Powell, George V.N.; Wright, S. Joseph; Lugo, Ariel E. 2011. Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests. Ecological Applications. 21(1): 85-98.


    canopy chemistry, imaging spectroscopy, leaf mass per area, LMA, leaf traits, phylogenetics, rain forest, remote sensing, specific leaf area, SLA, taxonomy

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page