Koricheva Julia
Department of Entomology, Swedish University of Agricultural Sciences, P.O. Box 7044, S-75007, Uppsala, Sweden, , , , , , SE.
Oecologia. 1999 Jun;119(4):467-473. doi: 10.1007/s004420050809.
Ecologists often use concentrations of defensive compounds as measures of plant allocation to defence and/or allelochemical production. I demonstrate that this practice may lead to erroneous conclusions because plants produce and allocate molecules (quantities) of compounds whereas concentrations reflect the distribution of these quantities in plant tissues and are, therefore, functions of plant biomass. As a tool for distinguishing between shifts in allelochemical production versus changes in plant biomass in determining allelochemical concentrations, I suggest using a technique known as graphical vector analysis (GVA) which has been developed for diagnosing nutrient limitations in forest stands, but has seldom been applied by researchers studying plant allelochemicals. I used data from several published studies to demonstrate how GVA can be applied to interpret ontogenetic and environmental effects on allelochemical levels and to compare the results obtained for different allelochemical types, plant species, treatments and experiments. These examples show that changes in plant biomass per se are an important source of variation in allelochemical concentrations and, therefore, concentration data can be easily misinterpreted if changes in absolute content and plant biomass are not considered simultaneously. Because studies reporting variation in allelochemical concentrations have been considered as tests for general theories of plant chemical defence, evidence in support of or against these theories should be re-examined using multivariate techniques such as analysis of covariance, allometric analysis and GVA.
生态学家常常将防御性化合物的浓度作为衡量植物用于防御和/或化感物质产生的资源分配指标。我证明了这种做法可能会导致错误的结论,因为植物产生并分配化合物的分子(数量),而浓度反映的是这些数量在植物组织中的分布情况,因此是植物生物量的函数。作为一种区分化感物质产生的变化与植物生物量变化对化感物质浓度影响的工具,我建议使用一种称为图形向量分析(GVA)的技术,该技术是为诊断林分中的养分限制而开发的,但研究植物化感物质的研究人员很少应用。我使用了几项已发表研究的数据,来展示如何应用GVA来解释个体发育和环境对化感物质水平的影响,并比较不同化感物质类型、植物物种、处理和实验所得到的结果。这些例子表明,植物生物量本身的变化是化感物质浓度变化的一个重要变异来源,因此,如果不同时考虑绝对含量和植物生物量的变化,浓度数据很容易被误解。由于报告化感物质浓度变化的研究被视为对植物化学防御一般理论的检验,因此支持或反对这些理论的证据应该使用多变量技术(如协方差分析、异速生长分析和GVA)重新审视。