Otolith biochronology as an indicator of marine fish responses to hydroclimatic conditions and ecosystem regime shifts

Smoliński, Szymon; Mirny, Zuzanna

doi:10.1016/j.ecolind.2017.04.028

Cited by 25 publications

(15 citation statements)

References 45 publications

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“…, Barrow et al. , Smoliński and Mirny ). Fish growth can also be influenced by broad climatic shifts that alter ocean climates (Bruce Macfarlane et al.…”

Section: Introductionmentioning

confidence: 97%

“…Genetically determined growth rates are then mediated by the environmental conditions, with fish growth responding rapidly to immediate external selection pressures (Boeuf and Payan 2001). For example, ocean temperatures (within optimum thermal ranges) can increase growth rates as fish are ectothermic and available somatic energy reflects water temperatures (Neuheimer et al 2011, Barrow et al 2017, Smoli nski and Mirny 2017. Fish growth can also be influenced by broad climatic shifts that alter ocean climates (Bruce Macfarlane et al 2005, Ong et al 2018; ocean productivity, which affects the availability of food (Rosenfeld et al 2005, Do Souto et al 2018; and population densities and intra-specific competition (Stephens and Sutherland 1999, Rose et al 2001, Lewin et al 2006.…”

Section: Introductionmentioning

confidence: 99%

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Using otolith chronologies to understand long‐term trends and extrinsic drivers of growth in fisheries

et al. 2019

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Identifying trends and drivers of fish growth in commercial species is important for ongoing sustainable management, but there is a critical shortage of long-term datasets in marine systems. Using otolith (ear bone) sclerochronology and mixed-effects modeling, we reconstructed nearly four decades (37 yr) of growth across four oceanographically diverse regions in an iconic fishery species, snapper (Chrysophrys auratus). Growth was then related to environmental factors (sea surface temperature, chlorophyll-a, and Southern Oscillation Index) and population performance indicators (recruitment and commercial catch). Across the decades, growth rates declined in the two most productive fishery regions. Chlorophylla (a measure of primary productivity) was the best predictor of growth for all regions, but direction and magnitude of the relationships varied, indicating regional-specific differences in intra-specific competition. Sea surface temperature was positively correlated with fish growth, but negatively correlated after temperature reached optimum thermal maxima, which suggests individuals in warmer regions may be under thermal stress. Growth also decreased at the extremes of the Southern Oscillation Index, indicating fish growth is impeded in significant climatic events. Contrasting relationships between growth, catch, and recruitment indicated regional-specific density-dependent effects, with growth positively correlated with population size in one region but negatively correlated in another. Our results indicate that under future ocean warming and increased frequency of extreme climate events, fish growth and fisheries productivity are likely to be affected. Furthermore, the interactive effects of extrinsic factors also indicated that stressors on fisheries should be managed collectively. We show that otolith chronologies are an effective method to assess long-term trends and drivers of growth in fishery species. Such informed ecological predictions will help shape the sustainable management of fisheries under future changing climates.

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“…, Barrow et al. , Smoliński and Mirny ). Fish growth can also be influenced by broad climatic shifts that alter ocean climates (Bruce Macfarlane et al.…”

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Using otolith chronologies to understand long‐term trends and extrinsic drivers of growth in fisheries

et al. 2019

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“…In the second step, we introduced different extrinsic effects into the optimal intrinsic model identified in the first step of modeling. In order to make a non-arbitrary choice of the optimal time window for the monthly temperature variable (SST), we applied statistically-based sliding window analysis, similarly to previous biochronological studies 5,61 . We included mean values of investigated variables calculated from different absolute time windows within the 24 months counted back from the end of the growth year (December) in the subsequent models and compared these to the baseline intrinsic model treated as a null hypothesis 62 .…”

Section: Methodsmentioning

confidence: 99%

“…In consequence, global warming has significant impacts on fish productivity 4 . Predictions of future climatic impacts on fish populations require a thorough assessment of fish growth-temperature relationships 5 .…”

mentioning

confidence: 99%

Century-long cod otolith biochronology reveals individual growth plasticity in response to temperature

Smoliński

Deplanque-Lasserre

Hjörleifsson

et al. 2020

Sci Rep

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Otolith biochronologies combine growth records from individual fish to produce long-term growth sequences, which can help to disentangle individual from population-level responses to environmental variability. This study assessed individual thermal plasticity of Atlantic cod (Gadus morhua) growth in Icelandic waters based on measurements of otolith increments. We applied linear mixed-effects models and developed a century-long growth biochronology (1908–2014). We demonstrated interannual and cohort-specific changes in the growth of Icelandic cod over the last century which were mainly driven by temperature variation. Temperature had contrasting relationships with growth—positive for the fish during the youngest ages and negative during the oldest ages. We decomposed the effects of temperature on growth observed at the population level into within-individual effects and among‐individual effects and detected significant individual variation in the thermal plasticity of growth. Variance in the individual plasticity differed across cohorts and may be related to the mean environmental conditions experienced by the group. Our results underscore the complexity of the relationships between climatic conditions and the growth of fish at both the population and individual level, and highlight the need to distinguish between average population responses and growth plasticity of the individuals for accurate growth predictions.

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“…Considerable research effort has been expended examining the biomineralisation process that drives otolith growth and factors affecting the seasonal formation of annuli and other growth marks, but our understanding is currently incomplete and the mechanics of the otolith structure and composition continues to be an active topic of research (Jolivet et al 2008, 2013, Morales-Nin & Geffen 2015. The individual biochronologies encoded as growth marks are thought to reflect environmental experience, since the composite calcium carbonate is primarily derived from the ambient water, but recent research suggests that physiological factors also play an important role (Darnaude et al 2014, Sturrock et al 2015, Hüssy et al 2016a, Smolinski & Mirny 2017. Typically, there is more growth in summer, less in winter, and this annual cycle manifests as a macrostructure (MaS) exhibiting translucent rings, somewhat similar to tree rings.…”

Section: Introductionmentioning

confidence: 99%

Digital imaging techniques in otolith data capture, analysis and interpretation

Fisher¹,

Hunter²

2018

Mar. Ecol. Prog. Ser.

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Otoliths or ear-stones are hard, calcium carbonate structures located within the inner ear of bony fishes. Counts of rings and measurements of seasonal growth increments from otoliths are important metrics for assessment and management of fish stocks, and the preparation and microscopic analysis of otoliths forms an essential part of the routine work undertaken by fisheries scientists worldwide. Otolith analysis is a skilled task requiring accuracy and precision, but it is laborious, time-consuming to perform, and represents a significant cost to fisheries management. In the last 2 decades, several attempts to apply 'computer vision' (systems that perform high-level tasks and exhibit intelligent behaviour) in otolith analysis have been reported. Although considerable progress has been made and several prototype systems developed, laboratories have been reluctant to adopt image-based computer-assisted age and growth estimation (CAAGE) systems. This paper surveys applications of CAAGE, focusing on their utility for automated ageing using images of otolith macrostructure. A cost−benefit analysis of CAAGE of cod, plaice and anchovy shows that computer vision performs relatively poorly compared with morphometric techniques. However, there is evidence that information from visual features can boost the performance of morphometric CAAGE, and further work is needed to develop effective frameworks for this integrated approach. The cost benefit of these systems might be attractive to smaller laboratories that are already using age−length keys derived from otolith morphometrics for management of smaller artisanal fisheries. KEY WORDS: Otolith • Computer-assisted age and growth estimation • CAAGE • Image analysis • Computational model Contribution to the Theme Section 'Innovative use of sclerochronology in marine resource management'

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Otolith biochronology as an indicator of marine fish responses to hydroclimatic conditions and ecosystem regime shifts

Cited by 25 publications

References 45 publications

Using otolith chronologies to understand long‐term trends and extrinsic drivers of growth in fisheries

Using otolith chronologies to understand long‐term trends and extrinsic drivers of growth in fisheries

Century-long cod otolith biochronology reveals individual growth plasticity in response to temperature

Digital imaging techniques in otolith data capture, analysis and interpretation

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