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Towards a trait-based ecology of wetland vegetation
Stockholm Univ, Stockholm Resilience Ctr, Kraftriket 2B, SE-10691 Stockholm, Sweden.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Plant Ecology and Evolution.
Department of Ecology, Environment and Plant Sciences, Stockholm University, , Stockholm, Sweden.
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, , Umeå, Sweden.
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2017 (English)In: Journal of Ecology, ISSN 0022-0477, E-ISSN 1365-2745, Vol. 105, no 6, p. 1623-1635Article, review/survey (Refereed) Published
Abstract [en]

1. Functional traits mechanistically capture plant responses to environmental gradients as well asplant effects on ecosystem functioning. Yet most trait-based theory stems from terrestrial systemsand extension to other habitats can provide new insights.

2. Wetlands differ from terrestrial systems in conditions (e.g. soil water saturation, anoxia, pHextremes), plant adaptations (e.g. aerenchyma, clonality, ubiquity of bryophytes) and important pro-cesses (e.g. denitrificati on, peat accumulation, methane emission). Wetland plant adaptations andtrait (co-)variation can be situated along major plant trait trade-off axes (e.g. the resource economicsspectrum), but soil saturation represents a complex stress gradient beyond a simple extension ofcommonly studied water availability gradi ents.

3. Traits that affect ecosystem functioning overlap with patterns in terrestrial systems . But wetland-specific traits that mediate plant effects on soil redox conditions, microbial communities and onwater flow, as well as trait spectra of mosses, vary among wetland types.

4. Synthesis. With increasing availability of quantitative plant traits a trait-based ecology of wetlandsis emerging, with the potential to advance process-based understanding and prediction. We providean inte ractive cause-and-effect framework that may guide research efforts to disentangle the multipleinteracti ng processes involved in scaling from environmental conditions to ecosystem functioni ngvia plant communities.

Place, publisher, year, edition, pages
2017. Vol. 105, no 6, p. 1623-1635
National Category
Ecology
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URN: urn:nbn:se:uu:diva-325257DOI: 10.1111/1365-2745.12734ISI: 000413341700016OAI: oai:DiVA.org:uu-325257DiVA, id: diva2:1113810
Available from: 2017-06-22 Created: 2017-06-22 Last updated: 2018-03-22Bibliographically approved

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