Cargando…

Leaf and Life History Traits Predict Plant Growth in a Green Roof Ecosystem

Green roof ecosystems are constructed to provide services such as stormwater retention and urban temperature reductions. Green roofs with shallow growing media represent stressful conditions for plant survival, thus plants that survive and grow are important for maximizing economic and ecological be...

Descripción completa

Detalles Bibliográficos
Autores principales: Lundholm, Jeremy, Heim, Amy, Tran, Stephanie, Smith, Tyler
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076323/
https://www.ncbi.nlm.nih.gov/pubmed/24978031
http://dx.doi.org/10.1371/journal.pone.0101395
_version_ 1782323476133052416
author Lundholm, Jeremy
Heim, Amy
Tran, Stephanie
Smith, Tyler
author_facet Lundholm, Jeremy
Heim, Amy
Tran, Stephanie
Smith, Tyler
author_sort Lundholm, Jeremy
collection PubMed
description Green roof ecosystems are constructed to provide services such as stormwater retention and urban temperature reductions. Green roofs with shallow growing media represent stressful conditions for plant survival, thus plants that survive and grow are important for maximizing economic and ecological benefits. While field trials are essential for selecting appropriate green roof plants, we wanted to determine whether plant leaf traits could predict changes in abundance (growth) to provide a more general framework for plant selection. We quantified leaf traits and derived life-history traits (Grime’s C-S-R strategies) for 13 species used in a four-year green roof experiment involving five plant life forms. Changes in canopy density in monocultures and mixtures containing one to five life forms were determined and related to plant traits using multiple regression. We expected traits related to stress-tolerance would characterize the species that best grew in this relatively harsh setting. While all species survived to the end of the experiment, canopy species diversity in mixture treatments was usually much lower than originally planted. Most species grew slower in mixture compared to monoculture, suggesting that interspecific competition reduced canopy diversity. Species dominant in mixture treatments tended to be fast-growing ruderals and included both native and non-native species. Specific leaf area was a consistently strong predictor of final biomass and the change in abundance in both monoculture and mixture treatments. Some species in contrasting life-form groups showed compensatory dynamics, suggesting that life-form mixtures can maximize resilience of cover and biomass in the face of environmental fluctuations. This study confirms that plant traits can be used to predict growth performance in green roof ecosystems. While rapid canopy growth is desirable for green roofs, maintenance of species diversity may require engineering of conditions that favor less aggressive species.
format Online
Article
Text
id pubmed-4076323
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-40763232014-07-02 Leaf and Life History Traits Predict Plant Growth in a Green Roof Ecosystem Lundholm, Jeremy Heim, Amy Tran, Stephanie Smith, Tyler PLoS One Research Article Green roof ecosystems are constructed to provide services such as stormwater retention and urban temperature reductions. Green roofs with shallow growing media represent stressful conditions for plant survival, thus plants that survive and grow are important for maximizing economic and ecological benefits. While field trials are essential for selecting appropriate green roof plants, we wanted to determine whether plant leaf traits could predict changes in abundance (growth) to provide a more general framework for plant selection. We quantified leaf traits and derived life-history traits (Grime’s C-S-R strategies) for 13 species used in a four-year green roof experiment involving five plant life forms. Changes in canopy density in monocultures and mixtures containing one to five life forms were determined and related to plant traits using multiple regression. We expected traits related to stress-tolerance would characterize the species that best grew in this relatively harsh setting. While all species survived to the end of the experiment, canopy species diversity in mixture treatments was usually much lower than originally planted. Most species grew slower in mixture compared to monoculture, suggesting that interspecific competition reduced canopy diversity. Species dominant in mixture treatments tended to be fast-growing ruderals and included both native and non-native species. Specific leaf area was a consistently strong predictor of final biomass and the change in abundance in both monoculture and mixture treatments. Some species in contrasting life-form groups showed compensatory dynamics, suggesting that life-form mixtures can maximize resilience of cover and biomass in the face of environmental fluctuations. This study confirms that plant traits can be used to predict growth performance in green roof ecosystems. While rapid canopy growth is desirable for green roofs, maintenance of species diversity may require engineering of conditions that favor less aggressive species. Public Library of Science 2014-06-30 /pmc/articles/PMC4076323/ /pubmed/24978031 http://dx.doi.org/10.1371/journal.pone.0101395 Text en © 2014 Lundholm et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lundholm, Jeremy
Heim, Amy
Tran, Stephanie
Smith, Tyler
Leaf and Life History Traits Predict Plant Growth in a Green Roof Ecosystem
title Leaf and Life History Traits Predict Plant Growth in a Green Roof Ecosystem
title_full Leaf and Life History Traits Predict Plant Growth in a Green Roof Ecosystem
title_fullStr Leaf and Life History Traits Predict Plant Growth in a Green Roof Ecosystem
title_full_unstemmed Leaf and Life History Traits Predict Plant Growth in a Green Roof Ecosystem
title_short Leaf and Life History Traits Predict Plant Growth in a Green Roof Ecosystem
title_sort leaf and life history traits predict plant growth in a green roof ecosystem
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076323/
https://www.ncbi.nlm.nih.gov/pubmed/24978031
http://dx.doi.org/10.1371/journal.pone.0101395
work_keys_str_mv AT lundholmjeremy leafandlifehistorytraitspredictplantgrowthinagreenroofecosystem
AT heimamy leafandlifehistorytraitspredictplantgrowthinagreenroofecosystem
AT transtephanie leafandlifehistorytraitspredictplantgrowthinagreenroofecosystem
AT smithtyler leafandlifehistorytraitspredictplantgrowthinagreenroofecosystem