Exploring temporal patterns in fish feeding ecology: Are ontogenetic dietary shifts stable over time?

生物 个体发育 利基 生态学 行会内捕食 捕食 种内竞争 营养水平 生态位 人口 竞赛(生物学) 生态系统 栖息地 捕食者 社会学 人口学 遗传学
作者
Javier Sánchez‐Hernández,Sebastian Prati,Eirik H. Henriksen,Aslak Smalås,Rune Knudsen,Anders Klemetsen,Per‐Arne Amundsen
出处
期刊:Reviews in Fish Biology and Fisheries [Springer Science+Business Media]
卷期号:32 (4): 1141-1155 被引量:11
标识
DOI:10.1007/s11160-022-09724-9
摘要

Abstract Disentangling the causes and consequences of ontogenetic niche shifts has been a pivotal challenge in ecology, aiming to enhance the understanding of biological processes that function at the individual, population, and community levels. Studies on ontogenetic dietary shifts have traditionally focused on short time scales, mostly including sampling covering just one or a few consecutive years, thus neglecting possible aspects of temporal variation and ecosystem stability that can only be revealed on long-term scales. We address ontogenetic dietary shifts of two fish predators in an intraguild system (Arctic charr and brown trout) using a long-term dataset spanning 20 consecutive years. Our study revealed distinct ontogenetic niche shifts of the two intraguild predators and demonstrated that these patterns were stable over time, suggesting large stability in prey acquisition and resource partitioning despite changes in their abundances and relative species composition. Some interannual variation was observed, but this was primarily due to sampling bias from low observation numbers for some ontogenetic stages, reflecting a common methodical challenge for ontogenetic niche shift studies. The persistent patterns in the trophic ontogeny of intraguild predators likely facilitate population and community stability by reducing inter- and/or intraspecific competition, thereby having important consequences for ecosystem functioning and resilience. Our study provides a strong rationale for performing ontogenetic niche shift studies over several consecutive years, enabling important insights into temporal variation, enhancement of observation numbers by merging data from multiple years, and the facilitation of a less intrusive sampling scheme for more vulnerable populations.
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