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ABSTRACT:

Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests

Journal Article

Asner GP; Martin RE; Tupayachi R; Emerson R; Martinez P

2011

Ecological Applications

21

85-98

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 proven 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. Intra-specific variation in LMA averages 16% which is a fraction of the variation observed between species. We then use spectroscopic remote sensing (400-2500 nm) to estimate LMA with an absolute uncertainty of 14-15 g m-2 (r2 = 0.85) or

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The Liana Ecology Project is supported by Marquette University and funded in part by the National Science Foundation.

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