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Predicting leaf traits of herbaceous species from their spectral characteristics

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 i...

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Autores principales: Roelofsen, Hans D, van Bodegom, Peter M, Kooistra, Lammert, Witte, Jan-Philip M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3967897/
https://www.ncbi.nlm.nih.gov/pubmed/24683454
http://dx.doi.org/10.1002/ece3.932
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author Roelofsen, Hans D
van Bodegom, Peter M
Kooistra, Lammert
Witte, Jan-Philip M
author_facet Roelofsen, Hans D
van Bodegom, Peter M
Kooistra, Lammert
Witte, Jan-Philip M
author_sort Roelofsen, Hans D
collection PubMed
description 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(2) leaf surface) instead of mass basis (mg/g dry matter). Leaf dry matter content was moderately to good correlated with spectra. We explain our results by the range of environmental constraints encountered by herbaceous species; both N and P limitations as well as a range of light and water availabilities occurred. This weakened the relation between the measured response traits and the leaf constituents that are truly responsible for leaf spectral behavior. Indeed, N predictions improve considering solely upper or under canopy species. Therefore, trait predictions in herbaceous systems should focus on traits relating to dry matter content and the true, underlying drivers of spectral properties.
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spelling pubmed-39678972014-03-28 Predicting leaf traits of herbaceous species from their spectral characteristics Roelofsen, Hans D van Bodegom, Peter M Kooistra, Lammert Witte, Jan-Philip M Ecol Evol Original Research 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(2) leaf surface) instead of mass basis (mg/g dry matter). Leaf dry matter content was moderately to good correlated with spectra. We explain our results by the range of environmental constraints encountered by herbaceous species; both N and P limitations as well as a range of light and water availabilities occurred. This weakened the relation between the measured response traits and the leaf constituents that are truly responsible for leaf spectral behavior. Indeed, N predictions improve considering solely upper or under canopy species. Therefore, trait predictions in herbaceous systems should focus on traits relating to dry matter content and the true, underlying drivers of spectral properties. John Wiley & Sons Ltd 2014-03 2014-02-14 /pmc/articles/PMC3967897/ /pubmed/24683454 http://dx.doi.org/10.1002/ece3.932 Text en © 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Roelofsen, Hans D
van Bodegom, Peter M
Kooistra, Lammert
Witte, Jan-Philip M
Predicting leaf traits of herbaceous species from their spectral characteristics
title Predicting leaf traits of herbaceous species from their spectral characteristics
title_full Predicting leaf traits of herbaceous species from their spectral characteristics
title_fullStr Predicting leaf traits of herbaceous species from their spectral characteristics
title_full_unstemmed Predicting leaf traits of herbaceous species from their spectral characteristics
title_short Predicting leaf traits of herbaceous species from their spectral characteristics
title_sort predicting leaf traits of herbaceous species from their spectral characteristics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3967897/
https://www.ncbi.nlm.nih.gov/pubmed/24683454
http://dx.doi.org/10.1002/ece3.932
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