Department of Biology, University of Washington, Box 351800 Seattle, WA 98195, USA.
Department of Global Ecology, Carnegie Institution for Science, 260 Panama St, Stanford, CA 94305, USA.
Ecol Lett. 2018 May;21(5):734-744. doi: 10.1111/ele.12945. Epub 2018 Mar 23.
The utility of plant functional traits for predictive ecology relies on our ability to interpret trait variation across multiple taxonomic and ecological scales. Using extensive data sets of trait variation within species, across species and across communities, we analysed whether and at what scales leaf economics spectrum (LES) traits show predicted trait-trait covariation. We found that most variation in LES traits is often, but not universally, at high taxonomic levels (between families or genera in a family). However, we found that trait covariation shows distinct taxonomic scale dependence, with some trait correlations showing opposite signs within vs. across species. LES traits responded independently to environmental gradients within species, with few shared environmental responses across traits or across scales. We conclude that, at small taxonomic scales, plasticity may obscure or reverse the broad evolutionary linkages between leaf traits, meaning that variation in LES traits cannot always be interpreted as differences in resource use strategy.
植物功能性状在预测生态学中的应用取决于我们解释跨多个分类学和生态学尺度的性状变异的能力。利用物种内、物种间和群落间性状变异的大量数据集,我们分析了叶经济谱(LES)性状是否以及在何种尺度上表现出预测的性状-性状协变。我们发现,LES 性状的大多数变异通常(但并非普遍)处于较高的分类学水平(科内的科或属之间)。然而,我们发现性状协变表现出明显的分类学尺度依赖性,某些性状相关性在种内与种间呈现相反的符号。LES 性状在物种内对环境梯度的响应是独立的,很少有性状或跨尺度的共同环境响应。我们的结论是,在小的分类学尺度上,可塑性可能会掩盖或逆转叶片性状之间的广泛进化联系,这意味着 LES 性状的变异不能总是被解释为资源利用策略的差异。