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Within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species

Linking intraspecific variation in plant traits to ecosystem carbon uptake may allow us to better predict how shift in populations shape ecosystem function. We investigated whether plant populations of a dominant old-field plant species (Solidago altissima) differed in carbon dynamics and if variati...

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Autores principales: Breza, Lauren C, Souza, Lara, Sanders, Nathan J, Classen, Aimée T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402191/
https://www.ncbi.nlm.nih.gov/pubmed/22833791
http://dx.doi.org/10.1002/ece3.223
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author Breza, Lauren C
Souza, Lara
Sanders, Nathan J
Classen, Aimée T
author_facet Breza, Lauren C
Souza, Lara
Sanders, Nathan J
Classen, Aimée T
author_sort Breza, Lauren C
collection PubMed
description Linking intraspecific variation in plant traits to ecosystem carbon uptake may allow us to better predict how shift in populations shape ecosystem function. We investigated whether plant populations of a dominant old-field plant species (Solidago altissima) differed in carbon dynamics and if variation in plant traits among genotypes and between populations predicted carbon dynamics. We established a common garden experiment with 35 genotypes from three populations of S. altissima from either Tennessee (southern populations) or Connecticut (northern populations) to ask whether: (1) southern and northern Solidago populations will differ in aboveground productivity, leaf area, flowering time and duration, and whole ecosystem carbon uptake, (2) intraspecific trait variation (growth and reproduction) will be related to intraspecific variation in gross ecosystem CO(2) exchange (GEE) and net ecosystem CO(2) exchange (NEE) within and between northern and southern populations. GEE and NEE were 4.8× and 2× greater in southern relative to northern populations. Moreover, southern populations produced 13× more aboveground biomass and 1.4× more inflorescence mass than did northern populations. Flowering dynamics (first- and last-day flowering and flowering duration) varied significantly among genotypes in both the southern and northern populations, but plant performance and ecosystem function did not. Both productivity and inflorescence mass predicted NEE and GEE between S. altissima southern and northern populations. Taken together, our data demonstrate that variation between S. altissima populations in performance and flowering traits are strong predictors of ecosystem function in a dominant old-field species and suggest that populations of the same species might differ substantially in their response to environmental perturbations.
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spelling pubmed-34021912012-07-25 Within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species Breza, Lauren C Souza, Lara Sanders, Nathan J Classen, Aimée T Ecol Evol Original Research Linking intraspecific variation in plant traits to ecosystem carbon uptake may allow us to better predict how shift in populations shape ecosystem function. We investigated whether plant populations of a dominant old-field plant species (Solidago altissima) differed in carbon dynamics and if variation in plant traits among genotypes and between populations predicted carbon dynamics. We established a common garden experiment with 35 genotypes from three populations of S. altissima from either Tennessee (southern populations) or Connecticut (northern populations) to ask whether: (1) southern and northern Solidago populations will differ in aboveground productivity, leaf area, flowering time and duration, and whole ecosystem carbon uptake, (2) intraspecific trait variation (growth and reproduction) will be related to intraspecific variation in gross ecosystem CO(2) exchange (GEE) and net ecosystem CO(2) exchange (NEE) within and between northern and southern populations. GEE and NEE were 4.8× and 2× greater in southern relative to northern populations. Moreover, southern populations produced 13× more aboveground biomass and 1.4× more inflorescence mass than did northern populations. Flowering dynamics (first- and last-day flowering and flowering duration) varied significantly among genotypes in both the southern and northern populations, but plant performance and ecosystem function did not. Both productivity and inflorescence mass predicted NEE and GEE between S. altissima southern and northern populations. Taken together, our data demonstrate that variation between S. altissima populations in performance and flowering traits are strong predictors of ecosystem function in a dominant old-field species and suggest that populations of the same species might differ substantially in their response to environmental perturbations. Blackwell Publishing Ltd 2012-06 /pmc/articles/PMC3402191/ /pubmed/22833791 http://dx.doi.org/10.1002/ece3.223 Text en © 2012 The Authors. Published by Blackwell Publishing Ltd.
spellingShingle Original Research
Breza, Lauren C
Souza, Lara
Sanders, Nathan J
Classen, Aimée T
Within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species
title Within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species
title_full Within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species
title_fullStr Within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species
title_full_unstemmed Within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species
title_short Within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species
title_sort within and between population variation in plant traits predicts ecosystem functions associated with a dominant plant species
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402191/
https://www.ncbi.nlm.nih.gov/pubmed/22833791
http://dx.doi.org/10.1002/ece3.223
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