Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, China.
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.
Trends Ecol Evol. 2020 Oct;35(10):908-918. doi: 10.1016/j.tree.2020.06.003. Epub 2020 Jun 25.
Functional traits are frequently used to evaluate plant adaptation across environments. Yet, traits tend to have multiple functions and interactions, which cannot be accounted for in traditional correlation analyses. Plant trait networks (PTNs) clarify complex relationships among traits, enable the calculation of metrics for the topology of trait coordination and the importance of given traits in PTNs, and how they shift across communities. Recent studies of PTNs provide new insights into some important topics, including trait dimensionality, trait spectra (including the leaf economic spectrum), stoichiometric principles, and the variation of phenotypic integration along gradients of resource availability. PTNs provide improved resolution of the multiple dimensions of plant adaptation across scales and responses to shifting resources, disturbance regimes, and global change.
功能性状常被用于评估植物在不同环境中的适应情况。然而，性状通常具有多种功能和相互作用，这在传统的相关分析中无法得到体现。植物性状网络（PTN）阐明了性状之间的复杂关系，使得计算性状协调的拓扑结构度量以及给定性状在 PTN 中的重要性，以及它们在群落间的变化成为可能。最近对 PTN 的研究为一些重要主题提供了新的见解，包括性状的维度、性状谱（包括叶经济谱）、化学计量学原理以及表型整合沿着资源可用性梯度的变化。PTN 提供了在多个尺度上对植物适应的多个维度以及对资源变化、干扰制度和全球变化的响应的改善分辨率。
