Department of Biology, University of Maryland, 1210 Biology Psychology Building, 4094 Campus Drive, College Park, Maryland, 20742, USA.
Department of Botany, University of Wyoming, Laramie, Wyoming, 82071, USA.
Ecology. 2020 Jun;101(6):e03007. doi: 10.1002/ecy.3007. Epub 2020 Mar 9.
The functional trait values that constitute a whole-plant phenotype interact with the environment to determine demographic rates. Current approaches often fail to explicitly consider trait × trait and trait × environment interactions, which may lead to missed information that is valuable for understanding and predicting the drivers of demographic rates and functional diversity. Here, we consider these interactions by modeling growth performance landscapes that span multidimensional trait spaces along environmental gradients. We utilize individual-level leaf, stem, and root trait data combined with growth data from tree seedlings along soil nutrient and light gradients in a hyper-diverse tropical rainforest. We find that multiple trait combinations in phenotypic space (i.e., alternative designs) lead to multiple growth performance peaks that shift along light and soil axes such that no single or set of interacting traits consistently results in peak growth performance. Evidence from these growth performance peaks also generally indicates frequent independence of above- and belowground resource acquisition strategies. These results help explain how functional diversity is maintained in ecological communities and question the practice of utilizing a single trait or environmental variable, in isolation, to predict the growth performance of individual trees.
构成植物整体表型的功能性状值与环境相互作用,决定了种群的增长率。目前的方法往往不能明确考虑性状与性状、性状与环境之间的相互作用,这可能会导致信息的缺失,而这些信息对于理解和预测种群增长率和功能多样性的驱动因素是很有价值的。在这里,我们通过构建跨越环境梯度多维性状空间的生长性能景观来考虑这些相互作用。我们利用个体水平的叶片、茎和根性状数据,以及在热带雨林中沿着土壤养分和光照梯度生长的树木幼苗的生长数据。我们发现,表型空间中的多个性状组合(即,替代设计)导致了多个生长性能峰值沿着光和土壤轴移动,以至于没有单一或一组相互作用的性状始终导致生长性能峰值。这些生长性能峰值的证据也普遍表明,地上和地下资源获取策略经常是独立的。这些结果有助于解释功能多样性如何在生态群落中得到维持,并质疑了利用单一性状或环境变量孤立地预测个体树木生长性能的做法。