Funk Steffen, Funk Nicole, Herrmann Jens-Peter, Hinrichsen Hans-Harald, Krumme Uwe, Möllmann Christian, Temming Axel
Institute of Marine Ecosystem and Fishery Science, Centre for Earth System Research and Sustainability (CEN) University of Hamburg Hamburg Germany.
GEOMAR Helmholtz Centre for Ocean Research Kiel Kiel Germany.
Ecol Evol. 2023 Nov 23;13(11):e10751. doi: 10.1002/ece3.10751. eCollection 2023 Nov.
Understanding individual growth in commercially exploited fish populations is key to successful stock assessment and informed ecosystem-based fisheries management. Traditionally, growth rates in marine fish are estimated using otolith age-readings in combination with age-length relationships from field samples, or tag-recapture field experiments. However, for some species, otolith-based approaches have been proven unreliable and tag-recapture experiments suffer from high working effort and costs as well as low recapture rates. An important alternative approach for estimating fish growth is represented by bioenergetic modelling which in addition to pure growth estimation can provide valuable insights into the processes leading to temporal growth changes resulting from environmental and related behavioural changes. We here developed an individual-based bioenergetic model for Western Baltic cod (), traditionally a commercially important fish species that however collapsed recently and likely suffers from climate change effects. Western Baltic cod is an ideal case study for bioenergetic modelling because of recently gained in-situ process knowledge on spatial distribution and feeding behaviour based on highly resolved data on stomachs and fish distribution. Additionally, physiological processes such as gastric evacuation, consumption, net-conversion efficiency and metabolic rates have been well studied for cod in laboratory experiments. Our model reliably reproduced seasonal growth patterns observed in the field. Importantly, our bioenergetic modelling approach implementing depth-use patterns and food intake allowed us to explain the potentially detrimental effect summer heat periods have on the growth of Western Baltic cod that likely will increasingly occur in the future. Hence, our model simulations highlighted a potential mechanism on how warming due to climate change affects the growth of a key species that may apply for similar environments elsewhere.
了解商业开发鱼类种群的个体生长情况是成功进行种群评估和基于生态系统的明智渔业管理的关键。传统上,海洋鱼类的生长率是通过结合耳石年龄读数与实地样本的年龄-体长关系,或标记重捕实地实验来估算的。然而,对于某些物种,基于耳石的方法已被证明不可靠,标记重捕实验存在工作量大、成本高以及重捕率低的问题。估算鱼类生长的一种重要替代方法是生物能量模型,该模型除了能进行纯生长估算外,还能为因环境和相关行为变化导致的时间生长变化过程提供有价值的见解。我们在此为波罗的海西部鳕鱼()开发了一个基于个体的生物能量模型,波罗的海西部鳕鱼传统上是一种具有重要商业价值的鱼类,但最近数量锐减,可能受到气候变化的影响。波罗的海西部鳕鱼是生物能量模型的理想案例研究对象,因为最近基于关于胃部和鱼类分布的高分辨率数据,获得了有关其空间分布和摄食行为的现场过程知识。此外,在实验室实验中,对鳕鱼的生理过程如胃排空、摄食量、净转化效率和代谢率等都进行了深入研究。我们的模型可靠地再现了实地观察到的季节性生长模式。重要的是,我们实施深度利用模式和食物摄入量的生物能量建模方法使我们能够解释夏季高温期对波罗的海西部鳕鱼生长可能产生的有害影响,而这种影响在未来可能会越来越频繁地出现。因此,我们的模型模拟突出了气候变化导致的变暖如何影响一个关键物种生长的潜在机制,这可能适用于其他类似环境。