2012
DOI: 10.1111/j.1461-0248.2012.01803.x
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Competitive interactions between forest trees are driven by species' trait hierarchy, not phylogenetic or functional similarity: implications for forest community assembly

Abstract: The relative importance of competition vs. environmental filtering in the assembly of communities is commonly inferred from their functional and phylogenetic structure, on the grounds that similar species compete most strongly for resources and are therefore less likely to coexist locally. This approach ignores the possibility that competitive effects can be determined by relative positions of species on a hierarchy of competitive ability. Using growth data, we estimated 275 interaction coefficients between tr… Show more

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Cited by 313 publications
(496 citation statements)
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References 47 publications
(136 reference statements)
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“…To include the effects of traits on the parameters of the growth model, we build on previous studies that explored the role of traits for tree performances and tree competition 8,9,11 . We modelled the effect of traits, one trait at a time.…”
Section: Model and Analysismentioning
confidence: 99%
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“…To include the effects of traits on the parameters of the growth model, we build on previous studies that explored the role of traits for tree performances and tree competition 8,9,11 . We modelled the effect of traits, one trait at a time.…”
Section: Model and Analysismentioning
confidence: 99%
“…Data on species functional traits were extracted from existing sources. We focused on wood density, species SLA and maximum height, because these traits have previously been related to competitive interactions and are available for large numbers of species 8,9,11,15,30 (see Extended Data Tables 3 and 4 for trait coverage and their correlations). Where available, we used data collected locally (references for the local trait data used in this analysis include refs 15, 51, 60-62); otherwise we sourced data from the TRY trait data base 18 (references for the data extracted from the TRY database used in this analysis include refs 2, 3, 15, 63-130).…”
Section: Model and Analysismentioning
confidence: 99%
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