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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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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 |
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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 |
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