State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing 100093, China.
Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich CH-8057, Switzerland.
Ecology. 2016 Sep;97(9):2396-2405. doi: 10.1002/ecy.1445.
Forging strong links between traits and performance is essential for understanding and predicting community assembly and dynamics. Functional trait analyses of trees that have correlated single-trait values with measures of performance such as growth and mortality have generally found weak relationships. A reason for these weak relationships is the failure to use individual-level trait data while simultaneously putting that data into the context of the abiotic setting, neighborhood composition, and the remaining axes constituting the overall phenotype. Here, utilizing detailed growth and trait data for 59 species of trees in a subtropical forest, we demonstrate that the individual-level functional trait values are strongly related to individual growth rates, and that the strength of these relationships critically depends on the context of that individual. We argue that our understanding of trait-performance relationships can be greatly improved with individual-level data so long as that data is put into the proper context.
建立特征与表现之间的紧密联系对于理解和预测群落组装和动态至关重要。对树木的功能特征分析通常发现,具有与生长和死亡率等表现测量相关的单一特征值的树木之间的关系较弱。造成这种弱关系的一个原因是未能在将数据置于生物物理环境、邻域组成以及构成整体表型的其他轴的背景下的同时,使用个体水平的特征数据。在这里,我们利用亚热带森林中 59 种树木的详细生长和特征数据,证明个体水平的功能特征值与个体生长率密切相关,并且这些关系的强度取决于个体的背景。我们认为,只要将数据置于适当的背景下,利用个体水平的数据可以大大提高我们对特征表现关系的理解。