論文

査読有り
2018年

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

115
21
開始ページ
5480
終了ページ
5485
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1073/pnas.1803989115
出版者・発行元
National Academy of Sciences

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.

リンク情報
DOI
https://doi.org/10.1073/pnas.1803989115
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000432663000062&DestApp=WOS_CPL
URL
http://orcid.org/0000-0001-6822-8536
ID情報
  • DOI : 10.1073/pnas.1803989115
  • ISSN : 1091-6490
  • ISSN : 0027-8424
  • ORCIDのPut Code : 46059328
  • SCOPUS ID : 85047363396
  • Web of Science ID : WOS:000432663000062

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