Within‐species patterns challenge our understanding of the leaf economics spectrum |
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Authors: | Leander D. L. Anderegg Logan T. Berner Grayson Badgley Meera L. Sethi Beverly E. Law Janneke HilleRisLambers |
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Affiliation: | 1. Department of Biology, University of Washington, Box 351800 Seattle, WA 98195, USA;2. Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA;3. Department of Forest Ecosystems and Society, Oregon State University, 330 Richardson Hall Corvallis, OR 97331, USA;4. School of Informatics, Cumputing, and Cyber Systems Northern Arizona University, 1295 S. Knoles Drive Flagstaff, AZ, 86011, USA |
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Abstract: | The utility of plant functional traits for predictive ecology relies on our ability to interpret trait variation across multiple taxonomic and ecological scales. Using extensive data sets of trait variation within species, across species and across communities, we analysed whether and at what scales leaf economics spectrum (LES) traits show predicted trait–trait covariation. We found that most variation in LES traits is often, but not universally, at high taxonomic levels (between families or genera in a family). However, we found that trait covariation shows distinct taxonomic scale dependence, with some trait correlations showing opposite signs within vs. across species. LES traits responded independently to environmental gradients within species, with few shared environmental responses across traits or across scales. We conclude that, at small taxonomic scales, plasticity may obscure or reverse the broad evolutionary linkages between leaf traits, meaning that variation in LES traits cannot always be interpreted as differences in resource use strategy. |
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Keywords: | Functional trait intra‐specific variation leaf lifespan leaf mass per area leaf nitrogen content taxonomic scale |
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