Which trait dissimilarity for functional diversity: trait means or trait overlap?

被引:89
作者
de Bello, Francesco [1 ,2 ]
Carmona, Carlos P. [3 ]
Mason, Norman W. H. [4 ]
Sebastia, Maria-Teresa [5 ]
Leps, Jan [2 ,6 ]
机构
[1] Acad Sci Czech Republ, Inst Bot, CZ-37982 Trebon, Czech Republic
[2] Univ South Bohemia, Fac Sci, Dept Bot, CZ-37005 Ceske Budejovice, Czech Republic
[3] Autonomous Univ Madrid, Dept Ecol, Terr Ecol Grp, E-28049 Madrid, Spain
[4] Landcare Res NZ Ltd, Hamilton, New Zealand
[5] Forestry & Technol Ctr Catalonia, E-28240 Solsona, Spain
[6] Acad Sci Czech Republ, Ctr Biol, Inst Entomol, CZ-37005 Ceske Budejovice, Czech Republic
关键词
Biodiversity; Community assembly; Environmental filtering; Functional traits; Intraspecific trait variability; Niche complementarity; Rao; NICHE OVERLAP; INTRASPECIFIC VARIABILITY; SPECIES RICHNESS; DIVERGENCE; SIMILARITY; FRAMEWORK; DATABASE; INDEXES;
D O I
10.1111/jvs.12008
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Question: Many functional diversity indices require the calculation of functional trait dissimilarities between species. However, very little is known about how the dissimilarity measure used might affect conclusions about ecological processes drawn from functional diversity. Methods: We simulated real applications of functional diversity, to illustrate the key properties of the two most common families of dissimilarity measures: (1) Gower' distance, using only mean trait' value per species and then standardizing each trait, e.g. relative to its range; (2) trait overlap' between species, which takes into account within-species trait variability. We then examine how these approaches could affect conclusions about ecological processes commonly assessed with functional diversity. We also propose a new R function (trova', i.e. TRait OVerlAp) which performs computations to estimate species trait dissimilarity with different types of data. Results: The trait overlap approach generally produces a less context-dependentmeasure of functional dissimilarity. For example, the results are less dependent on the transformation of trait data (often required in empirical datasets) and on the particular pool of species considered (i. e. trait range, regularity and presence of outliers). The results therefore could bemore easily compared across studies and biomes. Further, trait overlap more reliably reproduces patterns expected when niche differentiation structures communities. The Gower approach, on the contrary, more reliably detects environmental filtering effects. Conclusion: The two approaches imply different conceptions of how species dissimilarities relate to niche differentiation. Trait overlap is suitable for testing the effect of species interactions on functional diversity within local communities, especiallywhen relatively small differences in species traits are linked to different resource acquisition. Gower is better suited to detecting changes in functional diversity along environmental gradients, as greater differences in trait values reflect increased niche differentiation. Combining trait overlap and Gower approachesmay provide a novel way to assess the joint effects of environmental filtering and niche complementarity on community assembly. We suggest that attention should be given not only to the index of functional diversity considered but also whether the dissimilarity used is appropriate for the study context.
引用
收藏
页码:807 / 819
页数:13
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