Effect of metabolic rate on time-lag changes in otolith microchemistry: an experimental approach using Salmo trutta

耳石 萨尔莫 微化学 鱼 生物 生态学 个体发育 人口 代谢率 环境科学 渔业 化学 人口学 色谱法 社会学 内分泌学 遗传学
作者
Matthias Vignon,Hélène Tabouret,Jean-Christophe Aymes,Christophe Pécheyran,Jacques Rives,Pascale Coste-Heinrich,Emmanuel Huchet,Gilles Bareille
出处
期刊:The Journal of Experimental Biology [The Company of Biologists]
卷期号:226 (13) 被引量:1
标识
DOI:10.1242/jeb.245265
摘要

ABSTRACT Ecologists have long been interested in relevant techniques to track the field movement patterns of fish. The elemental composition of otoliths represents a permanent record of the growing habitats experienced by a fish throughout its lifetime and is increasingly used in the literature. The lack of a predictive and mechanistic understanding of the individual kinematics underlying ion incorporation/depletion limits our fine-scale temporal interpretation of the chemical signal recorded in the otolith. In particular, the rate at which elements are incorporated into otoliths is hypothesized to depend on fish physiology. However, to date, time lags have mostly been quantified on a population scale. Here, we report results from controlled experiments (translocation and artificially enriched environment) on individual trace element incorporation/depletion rates in Salmo trutta (Salmonidae). We reported significant lags (i.e. weeks to months) between changes in water chemistry and the subsequent change in otolith composition and highlighted substantial inter-individual variations in the timing and magnitude of Sr/Ca and Ba/Ca responses. These differences are partially linked to the energetic status (i.e. metabolic rate) of the individuals. It therefore appears that individuals with the highest metabolic rate are more likely to record detailed (i.e. brief) temporal changes than individuals having lower metabolic values. The time taken for environmental changes to be reflected in the growing otolith thus can no longer be assumed to remain a constant within populations. Results from the current study are a step towards the fine reconstruction of environmental histories in dynamic environments.

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