Liaoning Key Laboratory for Biological Invasions and Global Changes, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, Liaoning Province, China.
Division of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT, 2600, Australia.
Oecologia. 2022 Mar;198(3):593-603. doi: 10.1007/s00442-022-05122-x. Epub 2022 Feb 7.
Phenotypic plasticity index (PI), the slope of reaction norm (K) and relative distances plasticity index (RDPI), the most commonly used estimators, have occasionally been found to generate different plasticity rankings between groups (species, populations, cultivars or genotypes). However, no effort has been made to determine how frequent this incongruence is, and the factors that influence the occurrence of the incongruence. To address these problems, we first proposed a conceptual framework and then tested the framework (its predictions) by reanalyzing 1248 sets of published data. Our framework reveals inherent conflicts between K and PI or RDPI when comparing plasticity between two groups, and the frequency of these conflicts increases with increasing inter-group initial trait difference and/or K values of the groups compared. More importantly, the estimators also affect the magnitude of the inter-group plasticity differences even when they do not change groups' plasticity rankings. The above-mentioned effects of plasticity estimators were confirmed by our empirical test using data from the literature, and the conflicts occur in 203 (16%) of the 1248 comparisons between K and indices, indicating that a considerable proportion of the comparative conclusions on plasticity in literature are estimator-dependent. The frequency of the conflicts is influenced by phylogenetic relatedness of the groups compared, being lower when comparing within relative to between species, but not by specific types of environments, traits and species. Our study indicates that care is needed to select estimator when comparing groups' plasticity, and that the conclusions in relevant literature should be treated with great caution.
表型可塑性指数(PI)、反应规范斜率(K)和相对距离可塑性指数(RDPI)是最常用的估计值,但它们偶尔会在组间(物种、种群、品种或基因型)产生不同的可塑性排序。然而,尚未确定这种不一致性发生的频率,以及影响不一致性发生的因素。为了解决这些问题,我们首先提出了一个概念框架,然后通过重新分析 1248 组已发表的数据来检验该框架(其预测)。我们的框架揭示了在比较两组之间的可塑性时,K 和 PI 或 RDPI 之间存在固有冲突,并且这种冲突的频率随着组间初始性状差异和/或比较组的 K 值的增加而增加。更重要的是,即使估计值不改变组间的可塑性排序,它们也会影响组间可塑性差异的大小。我们使用文献中的数据进行的实证检验证实了上述估计值对可塑性的影响,并且在 K 和指数之间的 1248 次比较中有 203 次(16%)发生了冲突,这表明文献中关于可塑性的许多比较结论都依赖于估计值。冲突的频率受到比较组间系统发育关系的影响,在比较种内时比比较种间时更低,但不受特定类型的环境、性状和物种的影响。我们的研究表明,在比较组间可塑性时需要谨慎选择估计值,并且应该谨慎对待相关文献中的结论。