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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\u2010dimensional 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\u2010dimensional model, representing \u201cperfect knowledge\u201d of individual response to the environment, to illustrate how large observed IV can result from \u201cimperfect knowledge\u201d of the environment. Second, using growth data from clonal <jats:italic>Eucalyptus<\/jats:italic> plantations in Brazil, we estimated a major contribution of the environment in determining individual growth. Third, using tree growth data from long\u2010term 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\u2010representation has important consequences for inference about community dynamics. 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