Girard-Tercieux Camille, Maréchaux Isabelle, Clark Adam T, Clark James S, Courbaud Benoît, Fortunel Claire, Guillemot Joannès, Künstler Georges, le Maire Guerric, Pélissier Raphaël, Rüger Nadja, Vieilledent Ghislain
AMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD Montpellier France.
Institute of Biology Karl-Franzens University of Graz Graz Austria.
Ecol Evol. 2023 Mar 7;13(3):e9860. doi: 10.1002/ece3.9860. eCollection 2023 Mar.
Intraspecific variability (IV) has been proposed to explain species coexistence in diverse communities. Assuming, sometimes implicitly, that conspecific individuals can perform differently in the same environment and that IV increases niche overlap, previous studies have found contrasting results regarding the effect of IV on species coexistence. We aim at showing that the large IV observed in data does not mean that conspecific individuals are necessarily different in their response to the environment and that the role of high-dimensional environmental variation in determining IV has largely remained unexplored in forest plant communities. We first used a simulation experiment where an individual attribute is derived from a high-dimensional model, representing "perfect knowledge" of individual response to the environment, to illustrate how large observed IV can result from "imperfect knowledge" of the environment. Second, using growth data from clonal plantations in Brazil, we estimated a major contribution of the environment in determining individual growth. Third, using tree growth data from long-term tropical forest inventories in French Guiana, Panama and India, we showed that tree growth in tropical forests is structured spatially and that despite a large observed IV at the population level, conspecific individuals perform more similarly locally than compared with heterospecific individuals. As the number of environmental dimensions that are well quantified at fine scale is generally lower than the actual number of dimensions influencing individual attributes, a great part of observed IV might be represented as random variation across individuals when in fact it is environmentally driven. This mis-representation has important consequences for inference about community dynamics. We emphasize that observed IV does not necessarily impact species coexistence per se but can reveal species response to high-dimensional environment, which is consistent with niche theory and the observation of the many differences between species in nature.
种内变异性(IV)已被提出用于解释多样群落中的物种共存现象。以往研究有时隐含地假定,同种个体在相同环境中可能表现不同,且IV会增加生态位重叠,但关于IV对物种共存的影响,这些研究得出了相互矛盾的结果。我们旨在表明,数据中观察到的较大IV并不意味着同种个体对环境的反应必然不同,而且在森林植物群落中,高维环境变异在决定IV方面的作用在很大程度上仍未得到探索。我们首先进行了一项模拟实验,其中个体属性源自一个高维模型,该模型代表个体对环境反应的“完美知识”,以说明观察到的较大IV是如何由对环境的“不完美知识”导致的。其次,利用巴西克隆种植园的生长数据,我们估计了环境在决定个体生长方面的主要作用。第三,利用法属圭亚那、巴拿马和印度长期热带森林清查的树木生长数据,我们表明热带森林中的树木生长在空间上是有结构的,尽管在种群水平上观察到较大的IV,但同种个体在局部比异种个体表现得更相似。由于在精细尺度上得到充分量化的环境维度数量通常低于影响个体属性的实际维度数量,很大一部分观察到的IV可能在实际上是由环境驱动的情况下被表示为个体间的随机变异。这种错误表示对群落动态推断有重要影响。我们强调,观察到的IV本身不一定会影响物种共存,但可以揭示物种对高维环境的反应,这与生态位理论以及自然界中物种间众多差异的观察结果是一致的。