首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Constraints on trait combinations explain climatic drivers of biodiversity: the importance of trait covariance in community assembly
Authors:John M Dwyer  Daniel C Laughlin
Institution:1. School of Biological Sciences, The University of Queensland, Brisbane, QLD, Australia;2. Ecosciences Precinct, CSIRO Land and Water, Brisbane, QLD, Australia;3. Environmental Research Institute and School of Science, University of Waikato, Hamilton, New Zealand;4. Department of Botany, University of Wyoming, Laramie, WY, USA
Abstract:Trade‐offs maintain diversity and structure communities along environmental gradients. Theory indicates that if covariance among functional traits sets a limit on the number of viable trait combinations in a given environment, then communities with strong multidimensional trait constraints should exhibit low species diversity. We tested this prediction in winter annual plant assemblages along an aridity gradient using multilevel structural equation modelling. Univariate and multivariate functional diversity measures were poorly explained by aridity, and were surprisingly poor predictors of community richness. By contrast, the covariance between maximum height and seed mass strengthened along the aridity gradient, and was strongly associated with richness declines. Community richness had a positive effect on local neighbourhood richness, indicating that climate effects on trait covariance indirectly influence diversity at local scales. We present clear empirical evidence that declines in species richness along gradients of environmental stress can be due to increasing constraints on multidimensional phenotypes.
Keywords:Aridity  functional traits  habitat filtering  species richness  winter annual  York gum woodlands
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号