@article{ wright_modulation_2005,
  title = {Modulation of leaf economic traits and trait relationships by climate},
  volume = {14},
  url = {http://dx.doi.org/10.1111/j.1466-822x.2005.00172.x},
  doi = {10.1111/j.1466-822x.2005.00172.x},
  abstract = {Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global scale. This knowledge provides insight into how plants have adapted to different environmental pressures, and will lead to better calibration of future vegetation–climate models. Location The data set represents vegetation from 175 sites around the world. Methods For more than 2500 vascular plant species, we compiled data on leaf mass per area ({LMA}), leaf life span ({LL}), nitrogen concentration (Nmass) and photosynthetic capacity (Amass). Site climate was described with several standard indices. Correlation and regression analyses were used for quantifying relationships between single leaf traits and climate. Standardized major axis ({SMA}) analyses were used for assessing the effect of climate on bivariate relationships between leaf traits. Principal components analysis ({PCA}) was used to summarize multidimensional trait variation. Results At hotter, drier and higher irradiance sites, (1) mean {LMA} and leaf N per area were higher; (2) average {LL} was shorter at a given {LMA}, or the increase in {LL} was less for a given increase in {LMA} ({LL}–{LMA} relationships became less positive) and (3) Amass was lower at a given Nmass , or the increase in A mass was less for a given increase in Nmass. Considering all traits simultaneously, 18% of variation along the principal multivariate trait axis was explained by climate. Main conclusions Trait-shifts with climate were of sufficient magnitude to have major implications for plant dry mass and nutrient economics, and represent substantial selective pressures associated with adaptation to different climatic regimes. Abbreviations Amass, Aarea: photosynthetic capacity per unit leaf mass or area; {DGVM}: dynamic global vegetation model; {LL}: leaf life span; {LMA}: leaf mass per area; {MAT}: meanannual temperature; Nmass, Narea: leaf nitrogen concentration per unit mass or area; {PCA}:principal components analysis; {PET}: Penman-Monteith potential evapotranspiration; {PFT}: plant functional type; {SMA}: standardized major axis; {VPD}: vapour pressure deficit.},
  journal = {Global Ecology and Biogeography Letters},
  author = {Wright, I. J. and Reich, P. B. and Cornelissen, J. H. C. and Falster, D. S. and Groom, P. K. and Hikosaka, K. and Lee, W. and Lusk, C. H. and Niinemets, Ü. and Oleksyn, J. and Osada, N. and Poorter, H. and Warton, D. I. and Westoby, M.},
  year = {2005},
  pages = {411–421}
}

{"_id":{"_str":"5342a6ee0e946d920a002f27"},"__v":1,"authorIDs":[],"author_short":["Wright, I.<nbsp>J.","Reich, P.<nbsp>B.","Cornelissen, J.<nbsp>H.<nbsp>C.","Falster, D.<nbsp>S.","Groom, P.<nbsp>K.","Hikosaka, K.","Lee, W.","Lusk, C.<nbsp>H.","Niinemets, Ü.","Oleksyn, J.","Osada, N.","Poorter, H.","Warton, D.<nbsp>I.","Westoby, M."],"bibbaseid":"wright-reich-cornelissen-falster-groom-hikosaka-lee-lusk-niinemets-oleksyn-osada-poorter-warton-westoby-modulationofleafeconomictraitsandtraitrelationshipsbyclimate-2005","bibdata":{"downloads":0,"bibbaseid":"wright-reich-cornelissen-falster-groom-hikosaka-lee-lusk-niinemets-oleksyn-osada-poorter-warton-westoby-modulationofleafeconomictraitsandtraitrelationshipsbyclimate-2005","urls":{"Paper":"http://dx.doi.org/10.1111/j.1466-822x.2005.00172.x"},"role":"author","year":"2005","volume":"14","url":"http://dx.doi.org/10.1111/j.1466-822x.2005.00172.x","type":"article","title":"Modulation of leaf economic traits and trait relationships by climate","pages":"411–421","key":"wright_modulation_2005","journal":"Global Ecology and Biogeography Letters","id":"wright_modulation_2005","doi":"10.1111/j.1466-822x.2005.00172.x","bibtype":"article","bibtex":"@article{ wright_modulation_2005,\n title = {Modulation of leaf economic traits and trait relationships by climate},\n volume = {14},\n url = {http://dx.doi.org/10.1111/j.1466-822x.2005.00172.x},\n doi = {10.1111/j.1466-822x.2005.00172.x},\n abstract = {Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global scale. This knowledge provides insight into how plants have adapted to different environmental pressures, and will lead to better calibration of future vegetation–climate models. Location The data set represents vegetation from 175 sites around the world. Methods For more than 2500 vascular plant species, we compiled data on leaf mass per area ({LMA}), leaf life span ({LL}), nitrogen concentration (Nmass) and photosynthetic capacity (Amass). Site climate was described with several standard indices. Correlation and regression analyses were used for quantifying relationships between single leaf traits and climate. Standardized major axis ({SMA}) analyses were used for assessing the effect of climate on bivariate relationships between leaf traits. Principal components analysis ({PCA}) was used to summarize multidimensional trait variation. Results At hotter, drier and higher irradiance sites, (1) mean {LMA} and leaf N per area were higher; (2) average {LL} was shorter at a given {LMA}, or the increase in {LL} was less for a given increase in {LMA} ({LL}–{LMA} relationships became less positive) and (3) Amass was lower at a given Nmass , or the increase in A mass was less for a given increase in Nmass. Considering all traits simultaneously, 18% of variation along the principal multivariate trait axis was explained by climate. Main conclusions Trait-shifts with climate were of sufficient magnitude to have major implications for plant dry mass and nutrient economics, and represent substantial selective pressures associated with adaptation to different climatic regimes. Abbreviations Amass, Aarea: photosynthetic capacity per unit leaf mass or area; {DGVM}: dynamic global vegetation model; {LL}: leaf life span; {LMA}: leaf mass per area; {MAT}: meanannual temperature; Nmass, Narea: leaf nitrogen concentration per unit mass or area; {PCA}:principal components analysis; {PET}: Penman-Monteith potential evapotranspiration; {PFT}: plant functional type; {SMA}: standardized major axis; {VPD}: vapour pressure deficit.},\n journal = {Global Ecology and Biogeography Letters},\n author = {Wright, I. J. and Reich, P. B. and Cornelissen, J. H. C. and Falster, D. S. and Groom, P. K. and Hikosaka, K. and Lee, W. and Lusk, C. H. and Niinemets, Ü. and Oleksyn, J. and Osada, N. and Poorter, H. and Warton, D. I. and Westoby, M.},\n year = {2005},\n pages = {411–421}\n}","author_short":["Wright, I.<nbsp>J.","Reich, P.<nbsp>B.","Cornelissen, J.<nbsp>H.<nbsp>C.","Falster, D.<nbsp>S.","Groom, P.<nbsp>K.","Hikosaka, K.","Lee, W.","Lusk, C.<nbsp>H.","Niinemets, Ü.","Oleksyn, J.","Osada, N.","Poorter, H.","Warton, D.<nbsp>I.","Westoby, M."],"author":["Wright, I. J.","Reich, P. B.","Cornelissen, J. H. C.","Falster, D. S.","Groom, P. K.","Hikosaka, K.","Lee, W.","Lusk, C. H.","Niinemets, Ü.","Oleksyn, J.","Osada, N.","Poorter, H.","Warton, D. I.","Westoby, M."],"abstract":"Aim Our aim was to quantify climatic influences on key leaf traits and relationships at the global scale. This knowledge provides insight into how plants have adapted to different environmental pressures, and will lead to better calibration of future vegetation–climate models. Location The data set represents vegetation from 175 sites around the world. Methods For more than 2500 vascular plant species, we compiled data on leaf mass per area (LMA), leaf life span (LL), nitrogen concentration (Nmass) and photosynthetic capacity (Amass). Site climate was described with several standard indices. Correlation and regression analyses were used for quantifying relationships between single leaf traits and climate. Standardized major axis (SMA) analyses were used for assessing the effect of climate on bivariate relationships between leaf traits. Principal components analysis (PCA) was used to summarize multidimensional trait variation. Results At hotter, drier and higher irradiance sites, (1) mean LMA and leaf N per area were higher; (2) average LL was shorter at a given LMA, or the increase in LL was less for a given increase in LMA (LL–LMA relationships became less positive) and (3) Amass was lower at a given Nmass , or the increase in A mass was less for a given increase in Nmass. Considering all traits simultaneously, 18% of variation along the principal multivariate trait axis was explained by climate. Main conclusions Trait-shifts with climate were of sufficient magnitude to have major implications for plant dry mass and nutrient economics, and represent substantial selective pressures associated with adaptation to different climatic regimes. Abbreviations Amass, Aarea: photosynthetic capacity per unit leaf mass or area; DGVM: dynamic global vegetation model; LL: leaf life span; LMA: leaf mass per area; MAT: meanannual temperature; Nmass, Narea: leaf nitrogen concentration per unit mass or area; PCA:principal components analysis; PET: Penman-Monteith potential evapotranspiration; PFT: plant functional type; SMA: standardized major axis; VPD: vapour pressure deficit."},"bibtype":"article","biburl":"https://api.zotero.org/users/272915/collections/SRFWT7J3/items?key=W9hf8paqIJWXRCqyr5J3lVj0&format=bibtex&limit=100","downloads":0,"keywords":[],"search_terms":["modulation","leaf","economic","traits","trait","relationships","climate","wright","reich","cornelissen","falster","groom","hikosaka","lee","lusk","niinemets","oleksyn","osada","poorter","warton","westoby"],"title":"Modulation of leaf economic traits and trait relationships by climate","year":2005,"dataSources":["sGAWnhPif4swmMCMe"]}