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Quantifying the effects of ecological constraints on trait expression using novel trait-gradient analysis parameters

dc.contributor.authorOttaviani, Gianluigien_ZA
dc.contributor.authorTsakalos, James L.en_ZA
dc.contributor.authorKeppel, Gunnaren_ZA
dc.contributor.authorMucina, Ladislaven_ZA
dc.date.accessioned2020-01-31T07:07:59Z
dc.date.available2020-01-31T07:07:59Z
dc.date.issued2017
dc.identifier.citationOttaviani, G., et al. 2017. Quantifying the effects of ecological constraints on trait expression using novel trait-gradient analysis parameters. Ecology and Evolution, 8(1):435-440, doi:10.1002/ece3.3541
dc.identifier.issn2045-7758 (online)
dc.identifier.otherdoi:10.1002/ece3.3541
dc.identifier.urihttp://hdl.handle.net/10019.1/107403
dc.descriptionCITATION: Ottaviani, G., et al. 2017. Quantifying the effects of ecological constraints on trait expression using novel trait-gradient analysis parameters. Ecology and Evolution, 8(1):435-440, doi:10.1002/ece3.3541.
dc.descriptionThe original publication is available at https://onlinelibrary.wiley.com
dc.description.abstractComplex processes related to biotic and abiotic forces can impose limitations to assembly and composition of plant communities. Quantifying the effects of these constraints on plant functional traits across environmental gradients, and among communities, remains challenging. We define ecological constraint (Ci) as the combined, limiting effect of biotic interactions and environmental filtering on trait expression (i.e., the mean value and range of functional traits). Here, we propose a set of novel parameters to quantify this constraint by extending the trait‐gradient analysis (TGA) methodology. The key parameter is ecological constraint, which is dimensionless and can be measured at various scales, for example, on population and community levels. It facilitates comparing the effects of ecological constraints on trait expressions across environmental gradients, as well as within and among communities. We illustrate the implementation of the proposed parameters using the bark thickness of 14 woody species along an aridity gradient on granite outcrops in southwestern Australia. We found a positive correlation between increasing environmental stress and strength of ecological constraint on bark thickness expression. Also, plants from more stressful habitats (shrublands on shallow soils and in sun‐exposed locations) displayed higher ecological constraint for bark thickness than plants in more benign habitats (woodlands on deep soils and in sheltered locations). The relative ease of calculation and dimensionless nature of Ci allow it to be readily implemented at various scales and make it widely applicable. It therefore has the potential to advance the mechanistic understanding of the ecological processes shaping trait expression. Some future applications of the new parameters could be investigating the patterns of ecological constraints (1) among communities from different regions, (2) on different traits across similar environmental gradients, and (3) for the same trait across different gradient types.en_ZA
dc.description.urihttps://onlinelibrary.wiley.com/doi/10.1002/ece3.3541
dc.format.extent6 pages ; illustrations
dc.language.isoen_ZAen_ZA
dc.publisherWiley Open Access
dc.subjectGradient analysisen_ZA
dc.subjectEcological constraintsen_ZA
dc.subjectOrdination (Statistics)en_ZA
dc.titleQuantifying the effects of ecological constraints on trait expression using novel trait-gradient analysis parametersen_ZA
dc.typeArticleen_ZA
dc.description.versionPublisher's version
dc.rights.holderAuthors retain copyright


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