Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why

C. E Timothy Paine, Lucy Amissah, Harald Auge, Christopher Baraloto, Martin Baruffol, Nils Bourland, Helge Bruelheide, Kasso Daïnou, Roland C. de Gouvenain, Jean Louis Doucet, Susan Doust, Paul V A Fine, Claire Fortunel, Josephine Haase, Karen D. Holl, Hervé Jactel, Xuefei Li, Kaoru Kitajima, Julia Koricheva, Cristina Martínez-GarzaChristian Messier, Alain Paquette, Christopher Philipson, Daniel Piotto, Lourens Poorter, Juan M. Posada, Catherine Potvin, Kalle Rainio, Sabrina E. Russo, Mariacarmen Ruiz-Jaen, Michael Scherer-Lorenzen, Campbell O. Webb, S. Joseph Wright, Rakan A. Zahawi, Andy Hector

Resultado de la investigación: Contribución a RevistaArtículo

47 Citas (Scopus)

Resumen

© 2015 British Ecological Society.Plant functional traits, in particular specific leaf area (SLA), wood density and seed mass, are often good predictors of individual tree growth rates within communities. Individuals and species with high SLA, low wood density and small seeds tend to have faster growth rates. If community-level relationships between traits and growth have general predictive value, then similar relationships should also be observed in analyses that integrate across taxa, biogeographic regions and environments. Such global consistency would imply that traits could serve as valuable proxies for the complex suite of factors that determine growth rate, and, therefore, could underpin a new generation of robust dynamic vegetation models. Alternatively, growth rates may depend more strongly on the local environment or growth-trait relationships may vary along environmental gradients. We tested these alternative hypotheses using data on 27 352 juvenile trees, representing 278 species from 27 sites on all forested continents, and extensive functional trait data, 38% of which were obtained at the same sites at which growth was assessed. Data on potential evapotranspiration (PET), which summarizes the joint ecological effects of temperature and precipitation, were obtained from a global data base. We estimated size-standardized relative height growth rates (SGR) for all species, then related them to functional traits and PET using mixed-effect models for the fastest growing species and for all species together. Both the mean and 95th percentile SGR were more strongly associated with functional traits than with PET. PET was unrelated to SGR at the global scale. SGR increased with increasing SLA and decreased with increasing wood density and seed mass, but these traits explained only 3.1% of the variation in SGR. SGR-trait relationships were consistently weak across families and biogeographic zones, and over a range of tree statures. Thus, the most widely studied functional traits in plant ecology were poor predictors of tree growth over large scales. Synthesis. We conclude that these functional traits alone may be unsuitable for predicting growth of trees over broad scales. Determining the functional traits that predict vital rates under specific environmental conditions may generate more insight than a monolithic global relationship can offer. The most widely studied functional traits in plant ecology, specific leaf area, wood density and seed mass, were only weakly associated with tree growth rates over broad scales. Assessing trait-growth relationships under specific environmental conditions may generate more insight than a global relationship can offer.
Idioma originalEnglish (US)
Páginas (desde-hasta)978-989
Número de páginas12
PublicaciónJournal of Ecology
Volumen103
N.º4
DOI
EstadoPublished - ene 1 2015

Huella dactilar

wood density
tree growth
evapotranspiration
leaf area
potential evapotranspiration
plant ecology
growth traits
seeds
seed
environmental factors
environmental conditions
growth factors
vegetation dynamics
environmental gradient
vegetation
synthesis
temperature

Citar esto

Paine, C. E. T., Amissah, L., Auge, H., Baraloto, C., Baruffol, M., Bourland, N., ... Hector, A. (2015). Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why. Journal of Ecology, 103(4), 978-989. https://doi.org/10.1111/1365-2745.12401
Paine, C. E Timothy ; Amissah, Lucy ; Auge, Harald ; Baraloto, Christopher ; Baruffol, Martin ; Bourland, Nils ; Bruelheide, Helge ; Daïnou, Kasso ; de Gouvenain, Roland C. ; Doucet, Jean Louis ; Doust, Susan ; Fine, Paul V A ; Fortunel, Claire ; Haase, Josephine ; Holl, Karen D. ; Jactel, Hervé ; Li, Xuefei ; Kitajima, Kaoru ; Koricheva, Julia ; Martínez-Garza, Cristina ; Messier, Christian ; Paquette, Alain ; Philipson, Christopher ; Piotto, Daniel ; Poorter, Lourens ; Posada, Juan M. ; Potvin, Catherine ; Rainio, Kalle ; Russo, Sabrina E. ; Ruiz-Jaen, Mariacarmen ; Scherer-Lorenzen, Michael ; Webb, Campbell O. ; Wright, S. Joseph ; Zahawi, Rakan A. ; Hector, Andy. / Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why. En: Journal of Ecology. 2015 ; Vol. 103, N.º 4. pp. 978-989.
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title = "Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why",
abstract = "{\circledC} 2015 British Ecological Society.Plant functional traits, in particular specific leaf area (SLA), wood density and seed mass, are often good predictors of individual tree growth rates within communities. Individuals and species with high SLA, low wood density and small seeds tend to have faster growth rates. If community-level relationships between traits and growth have general predictive value, then similar relationships should also be observed in analyses that integrate across taxa, biogeographic regions and environments. Such global consistency would imply that traits could serve as valuable proxies for the complex suite of factors that determine growth rate, and, therefore, could underpin a new generation of robust dynamic vegetation models. Alternatively, growth rates may depend more strongly on the local environment or growth-trait relationships may vary along environmental gradients. We tested these alternative hypotheses using data on 27 352 juvenile trees, representing 278 species from 27 sites on all forested continents, and extensive functional trait data, 38{\%} of which were obtained at the same sites at which growth was assessed. Data on potential evapotranspiration (PET), which summarizes the joint ecological effects of temperature and precipitation, were obtained from a global data base. We estimated size-standardized relative height growth rates (SGR) for all species, then related them to functional traits and PET using mixed-effect models for the fastest growing species and for all species together. Both the mean and 95th percentile SGR were more strongly associated with functional traits than with PET. PET was unrelated to SGR at the global scale. SGR increased with increasing SLA and decreased with increasing wood density and seed mass, but these traits explained only 3.1{\%} of the variation in SGR. SGR-trait relationships were consistently weak across families and biogeographic zones, and over a range of tree statures. Thus, the most widely studied functional traits in plant ecology were poor predictors of tree growth over large scales. Synthesis. We conclude that these functional traits alone may be unsuitable for predicting growth of trees over broad scales. Determining the functional traits that predict vital rates under specific environmental conditions may generate more insight than a monolithic global relationship can offer. The most widely studied functional traits in plant ecology, specific leaf area, wood density and seed mass, were only weakly associated with tree growth rates over broad scales. Assessing trait-growth relationships under specific environmental conditions may generate more insight than a global relationship can offer.",
author = "Paine, {C. E Timothy} and Lucy Amissah and Harald Auge and Christopher Baraloto and Martin Baruffol and Nils Bourland and Helge Bruelheide and Kasso Da{\"i}nou and {de Gouvenain}, {Roland C.} and Doucet, {Jean Louis} and Susan Doust and Fine, {Paul V A} and Claire Fortunel and Josephine Haase and Holl, {Karen D.} and Herv{\'e} Jactel and Xuefei Li and Kaoru Kitajima and Julia Koricheva and Cristina Mart{\'i}nez-Garza and Christian Messier and Alain Paquette and Christopher Philipson and Daniel Piotto and Lourens Poorter and Posada, {Juan M.} and Catherine Potvin and Kalle Rainio and Russo, {Sabrina E.} and Mariacarmen Ruiz-Jaen and Michael Scherer-Lorenzen and Webb, {Campbell O.} and Wright, {S. Joseph} and Zahawi, {Rakan A.} and Andy Hector",
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Paine, CET, Amissah, L, Auge, H, Baraloto, C, Baruffol, M, Bourland, N, Bruelheide, H, Daïnou, K, de Gouvenain, RC, Doucet, JL, Doust, S, Fine, PVA, Fortunel, C, Haase, J, Holl, KD, Jactel, H, Li, X, Kitajima, K, Koricheva, J, Martínez-Garza, C, Messier, C, Paquette, A, Philipson, C, Piotto, D, Poorter, L, Posada, JM, Potvin, C, Rainio, K, Russo, SE, Ruiz-Jaen, M, Scherer-Lorenzen, M, Webb, CO, Wright, SJ, Zahawi, RA & Hector, A 2015, 'Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why', Journal of Ecology, vol. 103, n.º 4, pp. 978-989. https://doi.org/10.1111/1365-2745.12401

Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why. / Paine, C. E Timothy; Amissah, Lucy; Auge, Harald; Baraloto, Christopher; Baruffol, Martin; Bourland, Nils; Bruelheide, Helge; Daïnou, Kasso; de Gouvenain, Roland C.; Doucet, Jean Louis; Doust, Susan; Fine, Paul V A; Fortunel, Claire; Haase, Josephine; Holl, Karen D.; Jactel, Hervé; Li, Xuefei; Kitajima, Kaoru; Koricheva, Julia; Martínez-Garza, Cristina; Messier, Christian; Paquette, Alain; Philipson, Christopher; Piotto, Daniel; Poorter, Lourens; Posada, Juan M.; Potvin, Catherine; Rainio, Kalle; Russo, Sabrina E.; Ruiz-Jaen, Mariacarmen; Scherer-Lorenzen, Michael; Webb, Campbell O.; Wright, S. Joseph; Zahawi, Rakan A.; Hector, Andy.

En: Journal of Ecology, Vol. 103, N.º 4, 01.01.2015, p. 978-989.

Resultado de la investigación: Contribución a RevistaArtículo

TY - JOUR

T1 - Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why

AU - Paine, C. E Timothy

AU - Amissah, Lucy

AU - Auge, Harald

AU - Baraloto, Christopher

AU - Baruffol, Martin

AU - Bourland, Nils

AU - Bruelheide, Helge

AU - Daïnou, Kasso

AU - de Gouvenain, Roland C.

AU - Doucet, Jean Louis

AU - Doust, Susan

AU - Fine, Paul V A

AU - Fortunel, Claire

AU - Haase, Josephine

AU - Holl, Karen D.

AU - Jactel, Hervé

AU - Li, Xuefei

AU - Kitajima, Kaoru

AU - Koricheva, Julia

AU - Martínez-Garza, Cristina

AU - Messier, Christian

AU - Paquette, Alain

AU - Philipson, Christopher

AU - Piotto, Daniel

AU - Poorter, Lourens

AU - Posada, Juan M.

AU - Potvin, Catherine

AU - Rainio, Kalle

AU - Russo, Sabrina E.

AU - Ruiz-Jaen, Mariacarmen

AU - Scherer-Lorenzen, Michael

AU - Webb, Campbell O.

AU - Wright, S. Joseph

AU - Zahawi, Rakan A.

AU - Hector, Andy

PY - 2015/1/1

Y1 - 2015/1/1

N2 - © 2015 British Ecological Society.Plant functional traits, in particular specific leaf area (SLA), wood density and seed mass, are often good predictors of individual tree growth rates within communities. Individuals and species with high SLA, low wood density and small seeds tend to have faster growth rates. If community-level relationships between traits and growth have general predictive value, then similar relationships should also be observed in analyses that integrate across taxa, biogeographic regions and environments. Such global consistency would imply that traits could serve as valuable proxies for the complex suite of factors that determine growth rate, and, therefore, could underpin a new generation of robust dynamic vegetation models. Alternatively, growth rates may depend more strongly on the local environment or growth-trait relationships may vary along environmental gradients. We tested these alternative hypotheses using data on 27 352 juvenile trees, representing 278 species from 27 sites on all forested continents, and extensive functional trait data, 38% of which were obtained at the same sites at which growth was assessed. Data on potential evapotranspiration (PET), which summarizes the joint ecological effects of temperature and precipitation, were obtained from a global data base. We estimated size-standardized relative height growth rates (SGR) for all species, then related them to functional traits and PET using mixed-effect models for the fastest growing species and for all species together. Both the mean and 95th percentile SGR were more strongly associated with functional traits than with PET. PET was unrelated to SGR at the global scale. SGR increased with increasing SLA and decreased with increasing wood density and seed mass, but these traits explained only 3.1% of the variation in SGR. SGR-trait relationships were consistently weak across families and biogeographic zones, and over a range of tree statures. Thus, the most widely studied functional traits in plant ecology were poor predictors of tree growth over large scales. Synthesis. We conclude that these functional traits alone may be unsuitable for predicting growth of trees over broad scales. Determining the functional traits that predict vital rates under specific environmental conditions may generate more insight than a monolithic global relationship can offer. The most widely studied functional traits in plant ecology, specific leaf area, wood density and seed mass, were only weakly associated with tree growth rates over broad scales. Assessing trait-growth relationships under specific environmental conditions may generate more insight than a global relationship can offer.

AB - © 2015 British Ecological Society.Plant functional traits, in particular specific leaf area (SLA), wood density and seed mass, are often good predictors of individual tree growth rates within communities. Individuals and species with high SLA, low wood density and small seeds tend to have faster growth rates. If community-level relationships between traits and growth have general predictive value, then similar relationships should also be observed in analyses that integrate across taxa, biogeographic regions and environments. Such global consistency would imply that traits could serve as valuable proxies for the complex suite of factors that determine growth rate, and, therefore, could underpin a new generation of robust dynamic vegetation models. Alternatively, growth rates may depend more strongly on the local environment or growth-trait relationships may vary along environmental gradients. We tested these alternative hypotheses using data on 27 352 juvenile trees, representing 278 species from 27 sites on all forested continents, and extensive functional trait data, 38% of which were obtained at the same sites at which growth was assessed. Data on potential evapotranspiration (PET), which summarizes the joint ecological effects of temperature and precipitation, were obtained from a global data base. We estimated size-standardized relative height growth rates (SGR) for all species, then related them to functional traits and PET using mixed-effect models for the fastest growing species and for all species together. Both the mean and 95th percentile SGR were more strongly associated with functional traits than with PET. PET was unrelated to SGR at the global scale. SGR increased with increasing SLA and decreased with increasing wood density and seed mass, but these traits explained only 3.1% of the variation in SGR. SGR-trait relationships were consistently weak across families and biogeographic zones, and over a range of tree statures. Thus, the most widely studied functional traits in plant ecology were poor predictors of tree growth over large scales. Synthesis. We conclude that these functional traits alone may be unsuitable for predicting growth of trees over broad scales. Determining the functional traits that predict vital rates under specific environmental conditions may generate more insight than a monolithic global relationship can offer. The most widely studied functional traits in plant ecology, specific leaf area, wood density and seed mass, were only weakly associated with tree growth rates over broad scales. Assessing trait-growth relationships under specific environmental conditions may generate more insight than a global relationship can offer.

U2 - 10.1111/1365-2745.12401

DO - 10.1111/1365-2745.12401

M3 - Article

VL - 103

SP - 978

EP - 989

JO - Journal of Ecology

JF - Journal of Ecology

SN - 0022-0477

IS - 4

ER -

Paine CET, Amissah L, Auge H, Baraloto C, Baruffol M, Bourland N y otros. Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why. Journal of Ecology. 2015 ene 1;103(4):978-989. https://doi.org/10.1111/1365-2745.12401