Divergent drivers of leaf trait variation within species, among species, and among functional groups

Jeanne L.D. Osnas, Masatoshi Katabuchi, Kaoru Kitajima, S. Joseph Wright, Peter B. Reich, Sunshine A. Van Bael, Nathan J.B. Kraft, Mirna J. Samaniego, Stephen Wilson Pacala, Jeremy W. Lichstein

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Understanding variation in leaf functional traits—including rates of photosynthesis and respiration and concentrations of nitrogen and phosphorus—is a fundamental challenge in plant ecophysiology. When expressed per unit leaf area, these traits typically increase with leaf mass per area (LMA) within species but are roughly independent of LMA across the global flora. LMA is determined by mass components with different biological functions, including photosynthetic mass that largely determines metabolic rates and contains most nitrogen and phosphorus, and structural mass that affects toughness and leaf lifespan (LL). A possible explanation for the contrasting trait relationships is that most LMA variation within species is associated with variation in photosynthetic mass, whereas most LMA variation across the global flora is associated with variation in structural mass. This hypothesis leads to the predictions that (i) gas exchange rates and nutrient concentrations per unit leaf area should increase strongly with LMA across species assemblages with low LL variance but should increase weakly with LMA across species assemblages with high LL variance and that (ii) controlling for LL variation should increase the strength of the above LMA relationships. We present analyses of intra- and interspecific trait variation from three tropical forest sites and interspecific analyses within functional groups in a global dataset that are consistent with the above predictions. Our analysis suggests that the qualitatively different trait relationships exhibited by different leaf assemblages can be understood by considering the degree to which photosynthetic and structural mass components contribute to LMA variation in a given assemblage.

Original languageEnglish (US)
Pages (from-to)5480-5485
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume115
Issue number21
DOIs
StatePublished - May 22 2018

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Nitrogen
Photosynthesis
Respiratory Rate
Phosphorus
Gases
Food
Datasets
Forests

All Science Journal Classification (ASJC) codes

  • General

Keywords

  • Functional traits
  • Leaf longevity
  • Leaf mass per area
  • Plant functional types
  • Tropical forests

Cite this

Osnas, J. L. D., Katabuchi, M., Kitajima, K., Joseph Wright, S., Reich, P. B., Van Bael, S. A., ... Lichstein, J. W. (2018). Divergent drivers of leaf trait variation within species, among species, and among functional groups. Proceedings of the National Academy of Sciences of the United States of America, 115(21), 5480-5485. https://doi.org/10.1073/pnas.1803989115
Osnas, Jeanne L.D. ; Katabuchi, Masatoshi ; Kitajima, Kaoru ; Joseph Wright, S. ; Reich, Peter B. ; Van Bael, Sunshine A. ; Kraft, Nathan J.B. ; Samaniego, Mirna J. ; Pacala, Stephen Wilson ; Lichstein, Jeremy W. / Divergent drivers of leaf trait variation within species, among species, and among functional groups. In: Proceedings of the National Academy of Sciences of the United States of America. 2018 ; Vol. 115, No. 21. pp. 5480-5485.
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Osnas, JLD, Katabuchi, M, Kitajima, K, Joseph Wright, S, Reich, PB, Van Bael, SA, Kraft, NJB, Samaniego, MJ, Pacala, SW & Lichstein, JW 2018, 'Divergent drivers of leaf trait variation within species, among species, and among functional groups', Proceedings of the National Academy of Sciences of the United States of America, vol. 115, no. 21, pp. 5480-5485. https://doi.org/10.1073/pnas.1803989115

Divergent drivers of leaf trait variation within species, among species, and among functional groups. / Osnas, Jeanne L.D.; Katabuchi, Masatoshi; Kitajima, Kaoru; Joseph Wright, S.; Reich, Peter B.; Van Bael, Sunshine A.; Kraft, Nathan J.B.; Samaniego, Mirna J.; Pacala, Stephen Wilson; Lichstein, Jeremy W.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 115, No. 21, 22.05.2018, p. 5480-5485.

Research output: Contribution to journalArticle

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T1 - Divergent drivers of leaf trait variation within species, among species, and among functional groups

AU - Osnas, Jeanne L.D.

AU - Katabuchi, Masatoshi

AU - Kitajima, Kaoru

AU - Joseph Wright, S.

AU - Reich, Peter B.

AU - Van Bael, Sunshine A.

AU - Kraft, Nathan J.B.

AU - Samaniego, Mirna J.

AU - Pacala, Stephen Wilson

AU - Lichstein, Jeremy W.

PY - 2018/5/22

Y1 - 2018/5/22

N2 - Understanding variation in leaf functional traits—including rates of photosynthesis and respiration and concentrations of nitrogen and phosphorus—is a fundamental challenge in plant ecophysiology. When expressed per unit leaf area, these traits typically increase with leaf mass per area (LMA) within species but are roughly independent of LMA across the global flora. LMA is determined by mass components with different biological functions, including photosynthetic mass that largely determines metabolic rates and contains most nitrogen and phosphorus, and structural mass that affects toughness and leaf lifespan (LL). A possible explanation for the contrasting trait relationships is that most LMA variation within species is associated with variation in photosynthetic mass, whereas most LMA variation across the global flora is associated with variation in structural mass. This hypothesis leads to the predictions that (i) gas exchange rates and nutrient concentrations per unit leaf area should increase strongly with LMA across species assemblages with low LL variance but should increase weakly with LMA across species assemblages with high LL variance and that (ii) controlling for LL variation should increase the strength of the above LMA relationships. We present analyses of intra- and interspecific trait variation from three tropical forest sites and interspecific analyses within functional groups in a global dataset that are consistent with the above predictions. Our analysis suggests that the qualitatively different trait relationships exhibited by different leaf assemblages can be understood by considering the degree to which photosynthetic and structural mass components contribute to LMA variation in a given assemblage.

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KW - Functional traits

KW - Leaf longevity

KW - Leaf mass per area

KW - Plant functional types

KW - Tropical forests

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