Which is a better predictor of plant traits: Temperature or precipitation?

Angela T. Moles, Sarah E. Perkins, Shawn W. Laffan, Habacuc Flores-Moreno, Monica Awasthy, Marianne L. Tindall, Lawren Sack, Andy Pitman, Jens Kattge, Lonnie W. Aarssen, Madhur Anand, Michael Bahn, Benjamin Blonder, Jeannine Cavender-Bares, J. Hans C. Cornelissen, Will K. Cornwell, Sandra Díaz, John B. Dickie, Grégoire T. Freschet, Joshua G. GriffithsAlvaro G. Gutierrez, Frank A. Hemmings, Thomas Hickler, Timothy D. Hitchcock, Matthew Keighery, Michael Kleyer, Hiroko Kurokawa, Michelle R. Leishman, Kenwin Liu, Ülo Niinemets, Vladimir Onipchenko, Yusuke Onoda, Josep Penuelas, Valério D. Pillar, Peter B. Reich, Satomi Shiodera, Andrew Siefert, Enio E. Sosinski, Nadejda A. Soudzilovskaia, Emily K. Swaine, Nathan G. Swenson, Peter M. van Bodegom, Laura Warman, Evan Weiher, Ian J. Wright, Hongxiang Zhang, Martin Zobel, Stephen P. Bonser

Research output: Contribution to journalArticle

141 Citations (Scopus)

Abstract

Question: Are plant traits more closely correlated with mean annual temperature, orwithmean annual precipitation? Location: Global. Methods: We quantified the strength of the relationships between temperature and precipitation and 21 plant traits from 447,961 species-site combinations worldwide. We used meta-analysis to provide an overall answer to our question. Results: Mean annual temperature was significantly more strongly correlated with plant traits than was mean annual precipitation. Conclusions: Our study provides support for some of the assumptions of classical vegetation theory, and points to many interesting directions for future research. The relatively low R2 values for precipitation might reflect the weak link betweenmean annual precipitation and the availability of water to plants.

Original languageEnglish (US)
Pages (from-to)1167-1180
Number of pages14
JournalJournal of Vegetation Science
Volume25
Issue number5
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Fingerprint

temperature
meta-analysis
vegetation
water
methodology
method

Keywords

  • Climate
  • Compound leaves
  • Dispersal syndrome
  • Functional traits
  • Leaf life span
  • Nitrogen fixation
  • Photosynthetic pathway
  • Plant height
  • Plant life span
  • Seed mass
  • Specific leaf area
  • Spinescence

ASJC Scopus subject areas

  • Ecology
  • Plant Science

Cite this

Moles, A. T., Perkins, S. E., Laffan, S. W., Flores-Moreno, H., Awasthy, M., Tindall, M. L., ... Bonser, S. P. (2014). Which is a better predictor of plant traits: Temperature or precipitation? Journal of Vegetation Science, 25(5), 1167-1180. https://doi.org/10.1111/jvs.12190

Which is a better predictor of plant traits : Temperature or precipitation? / Moles, Angela T.; Perkins, Sarah E.; Laffan, Shawn W.; Flores-Moreno, Habacuc; Awasthy, Monica; Tindall, Marianne L.; Sack, Lawren; Pitman, Andy; Kattge, Jens; Aarssen, Lonnie W.; Anand, Madhur; Bahn, Michael; Blonder, Benjamin; Cavender-Bares, Jeannine; Cornelissen, J. Hans C.; Cornwell, Will K.; Díaz, Sandra; Dickie, John B.; Freschet, Grégoire T.; Griffiths, Joshua G.; Gutierrez, Alvaro G.; Hemmings, Frank A.; Hickler, Thomas; Hitchcock, Timothy D.; Keighery, Matthew; Kleyer, Michael; Kurokawa, Hiroko; Leishman, Michelle R.; Liu, Kenwin; Niinemets, Ülo; Onipchenko, Vladimir; Onoda, Yusuke; Penuelas, Josep; Pillar, Valério D.; Reich, Peter B.; Shiodera, Satomi; Siefert, Andrew; Sosinski, Enio E.; Soudzilovskaia, Nadejda A.; Swaine, Emily K.; Swenson, Nathan G.; van Bodegom, Peter M.; Warman, Laura; Weiher, Evan; Wright, Ian J.; Zhang, Hongxiang; Zobel, Martin; Bonser, Stephen P.

In: Journal of Vegetation Science, Vol. 25, No. 5, 01.01.2014, p. 1167-1180.

Research output: Contribution to journalArticle

Moles, AT, Perkins, SE, Laffan, SW, Flores-Moreno, H, Awasthy, M, Tindall, ML, Sack, L, Pitman, A, Kattge, J, Aarssen, LW, Anand, M, Bahn, M, Blonder, B, Cavender-Bares, J, Cornelissen, JHC, Cornwell, WK, Díaz, S, Dickie, JB, Freschet, GT, Griffiths, JG, Gutierrez, AG, Hemmings, FA, Hickler, T, Hitchcock, TD, Keighery, M, Kleyer, M, Kurokawa, H, Leishman, MR, Liu, K, Niinemets, Ü, Onipchenko, V, Onoda, Y, Penuelas, J, Pillar, VD, Reich, PB, Shiodera, S, Siefert, A, Sosinski, EE, Soudzilovskaia, NA, Swaine, EK, Swenson, NG, van Bodegom, PM, Warman, L, Weiher, E, Wright, IJ, Zhang, H, Zobel, M & Bonser, SP 2014, 'Which is a better predictor of plant traits: Temperature or precipitation?', Journal of Vegetation Science, vol. 25, no. 5, pp. 1167-1180. https://doi.org/10.1111/jvs.12190
Moles AT, Perkins SE, Laffan SW, Flores-Moreno H, Awasthy M, Tindall ML et al. Which is a better predictor of plant traits: Temperature or precipitation? Journal of Vegetation Science. 2014 Jan 1;25(5):1167-1180. https://doi.org/10.1111/jvs.12190
Moles, Angela T. ; Perkins, Sarah E. ; Laffan, Shawn W. ; Flores-Moreno, Habacuc ; Awasthy, Monica ; Tindall, Marianne L. ; Sack, Lawren ; Pitman, Andy ; Kattge, Jens ; Aarssen, Lonnie W. ; Anand, Madhur ; Bahn, Michael ; Blonder, Benjamin ; Cavender-Bares, Jeannine ; Cornelissen, J. Hans C. ; Cornwell, Will K. ; Díaz, Sandra ; Dickie, John B. ; Freschet, Grégoire T. ; Griffiths, Joshua G. ; Gutierrez, Alvaro G. ; Hemmings, Frank A. ; Hickler, Thomas ; Hitchcock, Timothy D. ; Keighery, Matthew ; Kleyer, Michael ; Kurokawa, Hiroko ; Leishman, Michelle R. ; Liu, Kenwin ; Niinemets, Ülo ; Onipchenko, Vladimir ; Onoda, Yusuke ; Penuelas, Josep ; Pillar, Valério D. ; Reich, Peter B. ; Shiodera, Satomi ; Siefert, Andrew ; Sosinski, Enio E. ; Soudzilovskaia, Nadejda A. ; Swaine, Emily K. ; Swenson, Nathan G. ; van Bodegom, Peter M. ; Warman, Laura ; Weiher, Evan ; Wright, Ian J. ; Zhang, Hongxiang ; Zobel, Martin ; Bonser, Stephen P. / Which is a better predictor of plant traits : Temperature or precipitation?. In: Journal of Vegetation Science. 2014 ; Vol. 25, No. 5. pp. 1167-1180.
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abstract = "Question: Are plant traits more closely correlated with mean annual temperature, orwithmean annual precipitation? Location: Global. Methods: We quantified the strength of the relationships between temperature and precipitation and 21 plant traits from 447,961 species-site combinations worldwide. We used meta-analysis to provide an overall answer to our question. Results: Mean annual temperature was significantly more strongly correlated with plant traits than was mean annual precipitation. Conclusions: Our study provides support for some of the assumptions of classical vegetation theory, and points to many interesting directions for future research. The relatively low R2 values for precipitation might reflect the weak link betweenmean annual precipitation and the availability of water to plants.",
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AU - Moles, Angela T.

AU - Perkins, Sarah E.

AU - Laffan, Shawn W.

AU - Flores-Moreno, Habacuc

AU - Awasthy, Monica

AU - Tindall, Marianne L.

AU - Sack, Lawren

AU - Pitman, Andy

AU - Kattge, Jens

AU - Aarssen, Lonnie W.

AU - Anand, Madhur

AU - Bahn, Michael

AU - Blonder, Benjamin

AU - Cavender-Bares, Jeannine

AU - Cornelissen, J. Hans C.

AU - Cornwell, Will K.

AU - Díaz, Sandra

AU - Dickie, John B.

AU - Freschet, Grégoire T.

AU - Griffiths, Joshua G.

AU - Gutierrez, Alvaro G.

AU - Hemmings, Frank A.

AU - Hickler, Thomas

AU - Hitchcock, Timothy D.

AU - Keighery, Matthew

AU - Kleyer, Michael

AU - Kurokawa, Hiroko

AU - Leishman, Michelle R.

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AU - Niinemets, Ülo

AU - Onipchenko, Vladimir

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AU - Reich, Peter B.

AU - Shiodera, Satomi

AU - Siefert, Andrew

AU - Sosinski, Enio E.

AU - Soudzilovskaia, Nadejda A.

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AU - Swenson, Nathan G.

AU - van Bodegom, Peter M.

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KW - Plant life span

KW - Seed mass

KW - Specific leaf area

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