Intraspecific variation in traits reduces ability of trait-based models to predict community structure

被引:27
|
作者
Read, Quentin D. [1 ,2 ,3 ]
Henning, Jeremiah A. [1 ,2 ]
Sanders, Nathan J. [2 ,4 ,5 ]
机构
[1] Univ Tennessee, Dept Ecol & Evolutionary Biol, 569 Dabney Hall, Knoxville, TN 37996 USA
[2] Rocky Mt Biol Labs, POB 615, Crested Butte, CO 81224 USA
[3] Michigan State Univ, Dept Forestry, 480 Wilson Rd, E Lansing, MI 48824 USA
[4] Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT 05405 USA
[5] Nat Hist Museum Denmark, Ctr Macroecol Evolut & Climate, DK-2100 Copenhagen, Denmark
关键词
Community model; Functional trait; Meadow; Montane; Niche; Plant; Sub-alpine; Traitspace; PLANT FUNCTIONAL TRAITS; NEUTRAL THEORY; ECOLOGY; DIVERSITY; DOMINANT; LEAF; DISTRIBUTIONS; BIOGEOGRAPHY; VARIABILITY; COEXISTENCE;
D O I
10.1111/jvs.12555
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
QuestionsIs it possible to predict the composition of local plant assemblages? Trait-based approaches have offered some promise, especially in cases where deterministic processes such as environmental filtering and niche differentiation shape communities. In this study, we asked how much intraspecific variation contributes to trait distributions within and among plant communities, and whether trait distributions resulting from environmental filtering and niche differentiation can predict accurately the relative species abundances of montane plant species in local communities. LocationWest Elk Mountains, Colorado, USA. MethodsWe collected functional trait, species composition and environmental data from 14 sites along a broad climate gradient in Colorado, USA, ranging in elevation from 2480 to 3560m. We partitioned the variation within and among sites into intraspecific and interspecific components, and compared the results to values from a recent global meta-analysis, which examined intraspecific trait variability patterns. We also used these data to parameterize statistical models that have been shown to reproduce patterns associated with the processes of environmental filtering and niche differentiation. We fit two models to the data, one assuming that niche differentiation is invariant among sites, and another assuming that niche differentiation varies among sites. ResultsWe found that the trait-based models were worse at predicting species relative abundances in local communities than a null model assuming equal abundances of all species. One plausible explanation for the poor performance of the models is that intraspecific variation in functional traits, which in our system was higher than the global averages documented in the meta-analysis, swamped the effects of interspecific variation in functional traits along the climatic gradient. In particular, almost all variation in root traits was within rather than among species, even among sites. ConclusionOur results suggest that a greater focus be placed on measuring intraspecific trait variability and determining its consequences for community assembly and ecosystem properties.
引用
收藏
页码:1070 / 1081
页数:12
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