Predicting leaf traits of herbaceous species from their spectral characteristics

H.D. Roelofsen, P.M. van Bodegom, L. Kooistra, J.P.M. Witte

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Trait predictions from leaf spectral properties are mainly applied to tree species, while herbaceous systems received little attention in this topic. Whether similar trait-spectrum relations can be derived for herbaceous plants that differ strongly in growing strategy and environmental constraints is therefore unknown. We used partial least squares regression to relate key traits to leaf spectra (reflectance, transmittance, and absorbance) for 35 herbaceous species, sampled from a wide range of environmental conditions. Specific Leaf Area and nutrient-related traits (N and P content) were poorly predicted from any spectrum, although N prediction improved when expressed on a per area basis (mg/m
Original languageEnglish
Pages (from-to)706-719
JournalEcology and Evolution
Volume(2014) 4
Issue number6
Early online date14 Feb 2014
DOIs
Publication statusPublished - 2014

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