Leaf and life history traits predict plant growth in a green roof ecosystem

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dc.creator Lundholm, Jeremy T. (Jeremy Todd), 1970-
dc.creator Heim, Amy
dc.creator Tran, Stephanie
dc.creator Smith, Tyler
dc.date.accessioned 2018-04-12T18:22:42Z
dc.date.available 2018-04-12T18:22:42Z
dc.date.issued 2014-06-30
dc.identifier.issn 1932-6203
dc.identifier.uri http://library2.smu.ca/handle/01/27412
dc.description Publisher's Version/PDF
dc.description.abstract 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. en_CA
dc.language.iso en en_CA
dc.publisher Public Library of Science en_CA
dc.rights Creative Commons Attribution License 4.0
dc.subject.lcsh Green roofs (Gardening)
dc.subject.lcsh Growth (Plants)
dc.subject.lcsh Plant ecology
dc.title Leaf and life history traits predict plant growth in a green roof ecosystem en_CA
dc.type Text en_CA
dcterms.bibliographicCitation Plos One 9(6), e101395. (2014) en_CA


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