Full text
ICES Journal of Marine Science , 2025, Vol. 82, Issue 11, fsaf205 https://doi.org/10.1093/icesjms/fsaf205 Received: 8 February 2025; revised: 27 October 2025; accepted: 29 October 2025 Original Article Tidally modulated burrow emergence rhythms of Nephrops norvegicus N. Bahamon 1 ,* , D. Chatzievangelou 1 , S. Fifas 2 , J. Doyle 3 , M. Martinelli 4 , J.B. Company 1 ,5 , J. Aguzzi 1 ,* 1 Institut de Ciències del Mar (ICM-CSIC), Passeig Maritim de la Barceloneta 37-49, 08003 Barcelona, Catalonia, Spain 2 Institut Français de Recherche pour l’Exploitation de la Mer, 29280 Pouzané, Brittany, France 3 Marine Institute, Fisheries and Ecosystems Advisory, Rinville, Oranmore, Co. Galway H91 R673, Ireland 4 National Research Council, Institute for Marine Biological Resources and Biotechnologies (CNR-IRBIM), Largo Fiera della Pesca, 2, 60125 Ancona, Italy 5 Institut Català de Recerca per a la Governança del Mar (ICATMAR), Passeig Marítim de la Barceloneta 37-49, 08003 Barcelona, Catalonia, Spain ∗Corresponding authors. N. Bahamon, Institut de Ciències del Mar (ICM-CSIC), Passeig Maritim de la Barceloneta 37-49, 08003 Barcelona, Catalonia, Spain. E-mail: [email protected] ; J. Aguzzi, Institut de Ciències del Mar (ICM-CSIC), Passeig Maritim de la Barceloneta 37-49, 08003 Barcelona, Catalonia, Spain. E-mail: [email protected] . Abstract The Norway lobster ( Nephrops norvegicus ) is one of the most important fishery resources in Europe and a key species for investigating biological rhythms in marine crustaceans, due its burrowing behaviour and wide depth distribution across continental shelves and slopes. Its availability to trawling is influenced by population-level burrow emergence events that vary in timing throughout the day. These emergence patters are known to depend on depth-related light intensity thresholds, but the effects of other environmental modulators remain less understood. Among them, the role of tidal cycles is poorly characterized, particularly in areas where strong hydrodynamic forcing may interact with day–night cues. Here, we assess the effects of tidal dynamics on Nephrops emergence in the Bay of Biscay (NE Atlantic, France), using a temporal analysis of population densities (i.e. by counting partially or fully emerged Nephrops ) estimated from archived video-transects from 2016 to 2020 by Underwater Television surveys at depths between 28 and 133 m. Tidal data (i.e. sea level anomaly) were estimated to every transect, and 24-h variations in Nephrops density were analysed using Generalized Additive Models. Our results revealed a strong positive correlation between burrow emergence and the semidiurnal tidal cycle, with peaks typically aligned with flood currents and reduced densities with ebb phases, independently of the photoperiod. This finding contrasts with results from field studies in other regions using similar methodologies to analyse populations activity rhythms. It suggests that light intensity and tidal cycles influence burrow emergence patterns, with the strength of this modulation likely shaped by local habitat conditions. Behavioural responsiveness to tidal rhythms may therefore represent an adaptive trait in shelf-dwelling Nephrops populations inhabiting tidally dynamic environments. Keywords: biological rhythms; stock assessment; demersal fisheries; sea level anomaly; day–night cycles; Nephrops Introduction The Norway lobster ( Nephrops norvegicus ), here after Nephrops , plays a key role in European fisheries, with annual catches typically around 60 000 tonnes (FAO 2023 ) and first-sale earnings of approximately €300 million (Issifu et al. 2022 ). Stock assessments are commonly based on Underwater Television (UWTV) surveys, which estimate burrow densities across known habitats to generate abundance indices. Over the past decade, these indices have fluctuated considerably, with a notable 40% decrease reported in 2024, coinciding with declining landing trends (ICES 2024 ). This has raised concern among fisheries managers regarding the sustainability of the stocks. Contributing factors may include trawlinginduced alteration of benthic sediments from muddy to mixed types, elevated discard rates, and increasing water temperatures (ICES 2024 ). However, another key factor may be variation in the Nephrops burrow emergence behaviour, which depends on environmental and temporal conditions (Aguzzi et al. 2012 ), and is not yet fully understood. Nephrops constructs and inhabits complex burrow systems and emerges periodically out onto the seabed; this behaviour is influenced by a biological clock and results in locomotor rates synchronized upon light and dark cycles (e.g. Atkinson and Naylor 1976 , Chiesa et al. 2010 , Sbragaglia et al. 2013 , Aguzzi et al. 2023 ). On continental shelves (i.e. 50–150 m), populations typically exhibit two major emergence events at crepuscular hours, leading to dusk and dawn trawl catches peaks, whereas a single midday peak occurs at greater depths (Simpson 1965 , Naylor and Atkinson 1976 , Hammond and Naylor 1977 , Redant and De Clerk 1984 , Aguzzi et al. 2003 ). While diel emergence patterns have been well documented, the modulation of emergence by tidal phase, particularly at the visible population level, remains less clearly understood (e.g. Aguzzi et al. 2004 , Sbragaglia et al. 2015 ). Tides generate horizontal barotropic currents that can alter conditions throughout the water column, including near the seabed, where they may act as behavioural cues for benthic species like Nephrops . Laboratory experiments support this © The Author(s) 2025. Published by Oxford University Press on behalf of International Council for the Exploration of the Sea. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025
2Bahamon et al. idea, showing that under simulated tidal flow, Nephrops reduce emergence during periods of increasing current velocity, often orienting downstream, if flow occurred during the active locomotor phase (Sbragaglia et al. 2015 ). However, field evidence for this behaviour is limited. One study reported higher catches during high tidal elevation on the shelf (Bell et al. 2008 ), whereas UWTV surveys at similar depths around Ireland reported day–night but not tidally modulated emergence rhythms (Aguzzi et al. 2021 ). In the Mediterranean, acoustic telemetry has recently been used to investigate how individual locomotor rhythms contribute to the formation of population-level emergence peaks, in an effort to explain the diel catch patterns, historically reported on the upper slope (around 350 m depth). This research showed that individual emergence could be arrhythmic, depending on the phase dissociation between light and current cycles (Aguzzi et al. 2023 ). Understanding how both day–night and tidal cycles influence Nephrops burrow emergence is crucial to improve the accuracy of UWTV-based stock assessments in most European waters, which presently estimate stock densities from burrow counts rather than the counts of individual Nephrops (STECF 2023 ). In the future, incorporating the timing of day and phase of the tide into UWTV survey design may help account for better density estimations, where burrows and Nephrops counts are compared, under the assumption that one individual typically occupies a single burrow system (Aguzzi et al. 2023 ). Other factors such as seasonal temperature changes, reproductive state, and age structure also affect emergence patterns and may influence catchability (Farmer 1974 , Tuck et al. 1994 , Aguzzi et al. 2004 , Aguzzi and Sardà 2008 ). In this study, we investigate Nephrops emergence dynamics on the continental shelf of the Bay of Biscay (NE Atlantic, France), a region characterized by a strong tidal regime (e.g. Karagiorgos et al. 2020 ). Using UWTV data collected at depths between 28– 133 m over five consecutive years (2016 to 2020), we assess the potential influence of tidal cycles on short-term fluctuations in population density, beyond the classical light-driven emergence behaviour. The findings aim to support more accurate and ecologically informed survey strategies in tidally influenced environments. Methods Biological data collection and processing UWTV surveys were conducted annually from 2016 to 2020 in the Bay of Biscay (NE Atlantic Ocean) at depths ranging from 28 to 133 m. All surveys followed the protocol established by the ICES Working Group on Nephrops Surveys for stock assessment purposes (ICES 2020 ). Surveys took place in spring (April–May) for 2016–2019 and in July 2020 to capture summer and minimize seasonal variation in emergence related to reproductive cycles and activity rhythms (Aguzzi et al. 2021 ). At each station, the UWTV sledge equipped with a high definition camera was deployed and towed for 10 min once stable. The vessel position was tracked using a Differential Global Positioning System (DGPS) and the sledge position was monitored using an on-board Ultra Short Baseline acoustic transponder. Positional data were recorded every 2 to 5 seconds and used to calculate the video-swept distance over the ground ( ∼200 m), following ICES recommendations (Dobby et al. 2021 ). All visible Nephrops were counted from each video transect and classified as either fully emerged or partially emerged (i.e. door-keeping behaviour; Aguzzi et al. 2007 ). Densities (individuals per m2 ) were calculated using the video-swept area (Aguzzi et al. 2021 ) and timestamped to the midpoint of each transect. In total, 782 transects were analysed. Hourly densities were aggregated and visualized using Hovmöller diagrams in R (R Core Team 2024 ), with time of day on the y -axis and sampling date on the x -axis. Nephrops emergence was measured as the number of visible individuals per m2 in each UWTV frame. Density peaks were defined post hoc as temporal increases in Nephrops counts relative to preceding and following time steps, typically occurring during flood phases and recurring within 24-h cycles. Tidal data and hydrodynamic variables Tidal elevations and depth-averaged currents were estimated for each location with their time stamp corresponding to the observation dataset, using the global barotropic TPXO9atlas-v5 tidal model (Egbert and Erofeeva 2002 ), which has a spatial resolution of 1/30◦( ∼3–4 km). The model assimilates satellite altimetry and provide tidal constituents for coastal and shelf environments. Tidal predictions were computed in MATLAB®(The MathWorks Inc., Natick, MA, USA) using the Tide Model Driver (TMD) version 3.0 (Greene 2023 ), accessing the TPXO9 NetCDF dataset with tmd_predict function. For each UWTV observation, tidal elevation and current velocity components, zonal (u) and meridional (v), were extracted. The model provides a single current value that represents the average flow throughout the water column, calculated as the Euclidean norm √ U2 −V2 . Tidal volume transport was similarly derived from its U and V components. Transport (m2 s−1 ), which integrates horizontal velocity with the vertical structure of the water column, is commonly used to represent hydrodynamic process relevant to shelf ecosystems (Aguzzi and Sarda 2008 ). In our study, transport and current were highly correlated ( r2 = 0.82), therefore only one was retained to avoid redundancy. Given our focus on physicalbiological interactions at the seabed, we selected current speed as the primary hydrodynamic predictor, as it more directly reflects near-bottom flow conditions experienced by Nephrops . Tidal predictions were validated against sea-level anomalies from Concarneau and Port-Bloc tide gauges, showing strong agreement ( r2 = 0.96; Supplementary Fig. S2 ). This confirms that survey transects encompassed both spring and neap tidal phases, with tidal elevations ranging from –2 to + 2 m and current speeds from 0.01 to 0.5 m s−1 ( Table 1 ). Statistical analyses Generalized Additive Models (GAMs; Hastie and Tibshirani 1990 ) were fitted using the mgcv package in R (Wood 2011 ). These flexible models were used to assess diel rhythms, i.e. hourly Nephrops densities, following the form: E( NEP ) = g −1(β0 +βyear + sHD, bs = cc, k = 24 + tel on, l at + ε where E(NEP) is the expected density, g is the log link function, β0 is the intercept, βyear are the parametric coefficients for year (categorical factor), s is the smoothing function with the term bs = “cc” specifying the 24 h knot based ( k = 24) cyclic cubic regression spline. te is the tensor smooth function for the interaction among transect locations (i.e. latitude and longitude) accounting for spatial dependence affecting the 24-h Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025
Tidal modulation of Nephrops norvegicus burrow emergence 3 Ta b l e 1. Annual descriptive statistics of biological and environmental variables measured at UWTV survey stations in the Bay of Biscay during the cruises from 2016 to 2020. Year Sampling period Number of stations Parameter Depth (m) Doorkeeping (Ind/m2 ) Outside (Ind/m2 ) Fraction of doorkeeping individuals Tidal elevation (m) Current speed (m/s) Water transport (m2 /s) 2016 From 04 May 196 Mean 97 .5 0 .011 0 .017 0 .527 −0 .006 0 .178 17 .571 to 15 May SD 19 .9 0 .024 0 .042 0 .378 1 .309 0 .080 10 .062 Min 46 .0 0 .000 0 .000 0 .000 −2 .269 0 .024 1 .972 Max 130 .0 0 .194 0 .297 1 .000 2 .301 0 .429 47 .184 2017 From 06 May 124 Mean 98 .5 0 .005 0 .011 0 .452 0 .014 0 .165 16 .004 to 17 May SD 19 .0 0 .010 0 .028 0 .382 1 .120 0 .061 7 .300 Min 45 .0 0 .000 0 .000 0 .000 −1 .812 0 .037 2 .164 Max 133 .0 0 .051 0 .210 1 .000 1 .828 0 .341 35 .369 2018 From 19 Apr 183 Mean 101 .0 0 .003 0 .009 0 .315 −0 .013 0 .171 16 .597 to 01 May SD 17 .2 0 .008 0 .020 0 .401 1 .145 0 .082 7 .858 Min 45 .0 0 .000 0 .000 0 .000 −2 .135 0 .033 2 .277 Max 130 .0 0 .071 0 .119 1 .000 1 .999 0 .505 44 .577 2019 From 02 May 145 Mean 97 .6 0 .003 0 .004 0 .566 0 .032 0 .152 14 .273 to 14 May SD 18 .5 0 .006 0 .009 0 .419 1 .168 0 .078 7 .878 Min 45 .0 0 .000 0 .000 0 .000 −1 .957 0 .009 0 .372 Max 130 .0 0 .032 0 .043 1 .000 2 .006 0 .442 44 .516 2020 From 22 Jul 134 Mean 101 .9 0 .009 0 .005 0 .750 −0 .031 0 .155 15 .434 to 31 Jul SD 17 .6 0 .013 0 .015 0 .176 1 .177 0 .079 8 .537 Min 28 .0 0 .000 0 .000 0 .000 −2 .075 0 .027 1 .162 Max 130 .0 0 .095 0 .119 1 .000 2 .150 0 .348 39 .906 2016 782 Mean 99 .3 0 .006 0 .009 0 .531 −0 .001 0 .165 16 .117 - SD 18 .5 0 .015 0 .027 0 .401 1 .206 0 .078 8 .556 2020 Min 28 .0 0 .000 0 .000 0 .000 −2 .269 0 .009 0 .372 Max 133 .0 0 .194 0 .297 1 .000 2 .301 0 .505 47 .184 The fraction of door-keeping individuals refers to the proportion of all visible Nephrops observed at the burrow entrance but not fully emerged (i.e. doorkeeping/[door-keeping + outside]). The final row (2016–2020) present statistics derived from the combined dataset across all surveys. burrow emergence rhythms of NEP , and ε is the residual error term. Model were fitted for (i) for fully emerged individuals only, (ii) door-keepers, and (iii) total densities (summing up fully emerged and door-keepers) per survey and for all the surveys. For further alignment with Nephrops diel patterns, diel pattern of tidal elevation was assessed following the form: E( T ID ) = β0 +βyear + sHD, bs = cc, k = 24 , corAR 1(form ∼1 |Year ) , + ε where E(TID) is the expected tidal elevation. The correlation term [corAR1(form = ∼1 | Year)] assumes residuals autoregressive correlation structure of order 1 with respect to the sampling period ( Year ). The effect of tidal elevation ( TideE ) on current velocity was assessed using GAMs of the form. E(Yi ) = g −1(β0 +βyear + s (TideE ) + te (l on, l at ) + ε where E(Yi ) is the expected current velocity. The same model structure was applied to evaluate the influence of tidal elevation on (i) total Nephrops density and (ii) the proportion of door-keeping individuals, with Yi representing the corresponding response variable in each case. For the case of proportion of door-keepers, g represented a logit link function to model the quasibinomial response (proportion data), following standard practice for bounded variables (Wood 2011 ). The models were checked for residual patterns, and overfitting. The degree of smoothing was estimated using Generalized Cross-Validation scores. Visualization of smooth effects and spatial contours was performed using base R plotting functions and mgcv built-in plot routines. Finally, correlations between the modelled 24-h burrow emergence patterns (by density data) and tidal elevation were carried out by non-parametric Spearman test, as the former data did not show normal distributions (being generally bimodal at crepuscular sunset and sunrise hours on the shelf; e.g. Hammond and Naylor 1977 , Aguzzi et al. 2003 ). Results The environmental and biological conditions characterizing each annual UWTV survey are summarized in Table 1 . These data provided the background for interpreting subsequent analyses of diel and tidal emergence patterns. Diel trends were first visualized using a Hovmöller diagram ( Fig. 1 ), which provided an overview of density variation (as a proxy for burrow emergence patterns) across dates and hours. Although the diagram revealed broad temporal structure, variability among individual transects and gaps in sampling obscured consistent daily patterns. This variability highlighted the need for statistical modelling to more robustly characterize diel and tidal rhythms. GAMs fitted to the 24h cycle ( Fig. 2 ; Table S1 ) revealed clear diel emergence patterns. The bimodal rhythm, characterized by two daily peaks, was primarily driven by fully emerged individuals ( Fig. 2 a), whereas door-keeping individuals showed no significant diel structure ( Fig. 2 b). To ensure full behavioural representation and increase statistical power, we therefore combined both categories in subsequent analyses. This approach aligned with UWTV survey practices, which consider both fully emerged and door-keeping individuals in abundance estimates. Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025
4Bahamon et al. Figure 1. Hovmöller diagram of Nephrops burrow emergence (considering both door-keeping and fully outside the burrows) by date ( x -axis) and hour of day ( y -axis) from UWTV surveys (2016–2020). Colour scale indicates Nephrops density. Missing values shown (in white) represent time bins within the 10-min video transects for which density could not be reliably estimated due to image quality or observational constraints, as per ICES UWTV survey protocols. Start and end times of the recordings vary between surveys (conducted in different months) and sometimes between transects. Figure 2. GAM smooths showing diel patterns of Nephrops density as a function of hour of the day; (a) fully emerged individuals only, (b) door-keeping individuals only. Shaded areas indicate 95% confidence intervals. Night-time hours are indicated, with lighter shading representing the range of night-time periods across surveys conducted in different months. Diel emergence peaks aligned closely with tidal phases, generally mirroring the semi-diurnal tidal cycle ( Fig. 3 a– e; Table S2 ). However, the bimodal pattern in Nephrops density was not always evident; in some years, either the dusk peak (e.g. 2017) or the dawn peak (e.g. 2019 and 2020) was reduced. Both peaks were clearly present only in 2016 and 2018. GAMs fitted to tidal elevation over the full study period and confirmed the usual presence of two dominant episodes of burrow emergence, corresponding to semi-diurnal tidal peaks: one around dawn (04:00–07:00) and another ∼2 h before dusk (17:00–19:00) ( Fig. 3 f). Nephrops densities on the seabed, as estimated by the general GAM fitted to data from all annual surveys, showed a strong correlation value with tidal elevation ( r = 0.73, P < 0.01). The weakest correlation was observed in 2019 (( r = 0.14, P = 0.17), when no density peak was detected around sunrise. Nevertheless, when restricting the analysis to the period between midday and midnight, the correlation became significant and increased to r = 0.55. In 2017 and 2020, which both exhibited a single density peak. The correlation between Nephrops density and tide height strengthened markedly when focussing only on the corresponding peak period (12:00 to 24:00 in 2017 and 00:00 to 12:00 in 2020). In Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025
Tidal modulation of Nephrops norvegicus burrow emergence 5 (a) (b) (c) (d) (e) (f) Figure 3. GAM fits (left panels) showing diel pattern of Nephrops density in relation to tidal elevation and the day–night cycles in the Bay of Biscay. Panels (a)–(e) correspond to each annual surveys; panel (f) shows the combined model across all surveys. The fitted curves represent Nephrops density and tidal elevation, with shaded areas indicating 95% confidence intervals. Night-time hours are indicated, and in panel (f) the range of night-time periods across surveys conducted in different months is shown with lighter shading. Maps on the right show sampling locations and Nephrops densities for each survey (a–e) and for the combined dataset (f). Maps were produced using Ocean Data View (Schlitzer, 2024 ). Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025
6Bahamon et al. both cases, the correlation rose from r = 0.58 and r = 0.48, respectively, to 0.99. Tidal elevation had a clear influence on current speed, with maximum velocities occurring near mid-tide (around mean sea level) and decreasing towards both low and high water (slack) ( Fig. 4 a; Table S3 ). It also exhibited a non-linear effect on total Nephrops density ( Fig. 4 b; Table S3 ) and the proportion of individuals displaying door-keeping behaviour ( Fig. 4 c; Table S3 ). At low tide (below −1 m), total density declined markedly, likely indicating that more individuals remained within their burrows. This is supported by a simultaneous rise in the proportion of door-keeping individuals, suggesting that emergence was largely limited to partial exposure. As tidal elevation increased towards mean sea level and high tide, both responses flattened, indicating a reduced influence of tidal height beyond mid-tide. The observed tidal modulation of Nephrops emergence was further supported by correlation analyses between surface density and tidal state ( Table 2 ). Spearman rank correlation tests revealed strong positive associations between modelled 24-h Nephrops surface densities (as a proxy for burrow emergence) and tidal elevation. Across all surveys, emergence peaks were consistently aligned with periods of high tidal elevation, typically during the flooding phase of the tide, while lower surface densities coincided with low tidal elevation values, corresponding to ebb tides. Particularly high correlation coefficients were observed in 2016 ( r = 0.72), 2018 ( r = 0.89), and for the combined dataset across all years ( r = 0.73), all with P < 0.001. In years where only a single emergence peak was evident (2017, 2019, and 2020), additional 12-h correlations yielded even stronger associations, with r -values approaching 0.99. Discussion The present work shows a relationship between Nephrops burrow emergence and tidal cycles on the NE Atlantic shelf, extending beyond the traditionally established effects of photoperiod. In doing so, it seeks to explore additional ecological factors that may modulate behavioural responses to environmental cues, such as strong tidal current flows. In the region of the Bay of Biscay where the UWTV surveys were conducted, the observed tidal regime includes several weaker constituents beyond the dominant semidiurnal M2 one (see Supplementary Tables S4 and S5 ), resulting in a stable tidal signal with no visible damping over weekly time scales (see Fig. 3 ). The M2 constituent represents the principal lunar semidiurnal tide, with a period of ∼12.42 h, and is typically the strongest tidal component in many shelf seas. This stability ensures that the timing of maximum flood and ebb currents, which typically occur around mid-tide (near mean sea level) and weaken towards high and low water (slack periods), remains consistent throughout each survey period. UWTV data, in conjunction with modelled tidal elevation and current velocities, indicate that Nephrops densities at the seabed surface increase during the flood phase and decline during ebbing, suggesting a positive association between emergence and rising tidal flow. This pattern suggest that emergence behaviour is modulated by the tidal cycle, whereby stronger currents during flooding may act as cues promoting emergence, in contrast to ebb tides, which coincide with reduced densities. This duality contrasts with previous studies reporting only a negative correlation between current speed and catchability (Hillis 1996 ). Laboratory studies simulating photoperiod and current flow (Sbragaglia et al. 2015 ) showed that strong currents can inhibit emergence , but Nephrops already emerged during the darkness remained outside the burrow. In our case, emergence increased during flooding and decreases during ebbing, forming a bimodal pattern centred around sunrise and anticipating sunset. These observations suggest that current speed alone does not fully explain emergence patterns. The analysis of modelled surface densities and tidal elevation (see Table 2 ) reinforces this interpretation. Significant positive correlations between Nephrops emergence and tidal elevation were observed across most years, especially over full 24-h cycles (e.g. r = 0.72 in 2016; r = 0.89 in 2018). Notably, when correlations were restricted to 12-h periods aligned with observed emergence peaks (i.e. flood tides), coefficients increased markedly ( r = 0.99 in 2017, 2019, and 2020). In contrast, full-day correlations weakened in some years (e.g. r = 0.14 in 2019), likely due to the asymmetrical emergence response between rising and falling tides. These results indicate a consistent synchrony between emergence and the flooding phase, possibly modulated by hydrodynamic and ecological conditions that differ between flood and ebb tides. The bimodal emergence pattern was not constant across years. In some surveys, one of the two peaks was absent, for instance, at sunset for 2017 or before sunrise in 2019 and 2020. This inconsistency suggests that while emergence may be driven by an optimum light intensity range (Chapman 1985 ), the synchrony and amplitude of flow and ebb tides, may modulate expression of this rhythm, ensuring that at least one emergence peak occur every 24 h. Other factors, including geophysical cycles and unconsidered ecological variables, may also contribute. Internal tides have been shown to synchronize the movement of deep-sea megabenthic species, with the strength of synchrony varying by locomotion mode, stronger in swimmers (e.g. fishes), moderate in walkers such as Nephrops , and weakest in crawlers (e.g. gastropods) (Aguzzi et al. 2010 ). These stratified internal flows, interacting with seabed topography, also influence the pulsing intensity of the Benthic Boundary Layer (BBL). We suggest that BBL currents may synchronize Nephrops burrow emergence behaviour along the Atlantic margin, with local bathymetric variation modulating the strength of this influence. This may explain why emergence modulation was not detected in Galway Bay UWTV data (Aguzzi et al. 2023 ), but was evident in the Farn Deeps by trawling (Bell et al. 2008 ) and the Bay of Biscay (present study). Secondly, the pattern of maximum current velocity occurring near mid-tide or around mean sea level and decreasing at very low and very high tides, reflects the dynamics of tidal currents, which are strongest during rising and falling tides. At tidal extremes, velocity slows down to “slack water” as the current change direction. This progression in tidal height and flow is commonly approximated by the rule of twelfths, a heuristic used in navigation to describe how the rate of tidal height change accelerates toward mid-tide and slows near high and low water. Because barotropic tidal currents are largely proportional to this rate of change, the heuristic is consistent with our observation that current velocities peaked at midtide and weakened at tidal extremes ( Fig. 4 a). When compared with Nephrops densities (see Fig. 4 b, c), this pattern suggests Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025
Tidal modulation of Nephrops norvegicus burrow emergence 7 (a) (b) (c) Figure 4. Non-linear effect of tidal elevation as estimated by a GAMs, on (a) current velocity, (b) the total Nephrops density, and (c) on the proportion of door-keeping individuals relative to the total Nephrops count per unit of area. Shaded areas represent 95% confidence intervals. Tick marks along the x -axis indicate the distribution of observed tidal elevation values. Ta b l e 2. Spearman rank correlations between modelled 24-h Nephrops surface densities and tidal elevation. Survey Hours of peak emergence Range of hours for correlation Correlation results S r P 2016 6–7 & 18 0 -24 46755 0 .72 < 0 .001 2017 4–5 0 -24 69676 0 .58 < 0 .001 0 -12 264 0 .99 < 0 .001 2018 4 & 16–17 0 -24 18334 0 .89 < 0 .001 2019 17 0 -24 143665 0 .14 0 .171 12–24 8384 0 .55 < 0 .001 2020 18–19 0 -24 87067 0 .48 < 0 .001 12–24 126 0 .99 < 0 .001 All the surveys 5 & 18 0 -24 44319 0 .73 < 0 .001 Surface density was used as a proxy for burrow emergence. Additional 12-h correlations were included for surveys with a single daily peak (2017, 2019, 2020). S -values is the Spearman test, r is the correlation coefficient, and P the probability of observing the result under the null hypothesis ( P < 0.05 indicates statistical significance). a tidal modulation of emergence behaviour, with Nephrops more likely to remain partially emerged during low tide and more likely to be fully emerged as the tide rises. This may reflect a still unknown combination of ecological factors acting differently during rising and falling tides. Seasonal temperature changes can influence the burrow emergence rhythms of Nephrops norvegicus . In northern waters such as the Irish Sea and NE Atlantic, emergence increases in late spring and summer as bottom temperatures rise and ovigerous females complete incubation (Farmer 1974 , Aguzzi and Sardà 2008 ). Catch rates and burrow counts are typically higher in summer and lower in winter, indicating temperature-modulated seasonal rhythms (Tuck et al. 1994 , Aguzzi et al. 2004 ). Even in the more thermally stable Mediterranean, emergence is still elevated during warmer months (Aguzzi et al. 2004 ). Although not assessed in this study, temperature likely interacts with other environmental drivers to influence emergence timing and catchability. Behavioural factors such as predator avoidance, fishing disturbance, and density-dependent competition may also modulate emergence rhythms. Individuals exposed to repeated trawling or high conspecific density may reduce emergence duration or shift activity to safer periods (Aguzzi et al. 2004 ). Similarly, high population density may promote competition for shelter or food, leading to altered emergence dynamics (Aguzzi et al. 2021 ). These behavioural modulations may interact with ecological factors, including predator–prey interactions and chemical signalling. Nephrops is a generalist predator and scavenger feeding on crustaceans, echinoderms, polychaetes, molluscs, and fish (Baden et al. 1990 , Cristo and Cartes 1998 , Zacchetti et al. 2022 ), whose chemical cues may be conveyed by currents. Adult stages are preyed upon by cod, ( Gadus morhua ) in the Atlantic (Björnsson and Dombaxe 2004 ) and by elasmobranchs and demersal fishes in the Mediterranean (Vigo et al. 2022 ). Many benthopelagic species display vertical migrations into the BBL (Aguzzi et al. 2015 ), eliciting intermittent responses in benthic predators and prey (Angel 1990 ). However, to our knowledge, no study has demonstrated a suppression of Nephrops emergence in the presence of food or predator stimuli, even under laboratory conditions. Conclusions Our results show a strong correlation between tidal cycles and Nephrops burrow emergence in the Bay of Biscay, with population densities at the seabed surface generally peaking twice daily. This bimodal pattern highlights the interplay between tidal dynamics and sunlight in modulating the species biological rhythms. The phase of the tidal cycle and current speed play a key role in shaping emergence behaviour. However, consistency with this pattern varied between years, suggesting the Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025
8Bahamon et al. influence of additional, yet unidentified, ecological factors on the species biological clock. These findings support the integration of tidal phase and current dynamics into UWTV survey design, particularly in hydrodynamically active areas, to improve the accuracy of abundance estimates and minimize behavioural bias in stock assessments. Incorporating tidal status at the time of the observation, along with contextual ecological data such as predator and prey abundances, would strengthen the ecological interpretation of emergence patterns. Such an approach, aligned with Ecosystem-Based Management principles, would provide a more comprehensive understanding of Nephrops behaviour in response to both abiotic and biotic drivers. Acknowledgements This work acknowledges the accreditation of the “Severo Ochoa Center of Excellence” (CEX2024–001494-S). This work was carried out by members of the Tecnoterra Associated Research Unit of the Scientific Research Council through the Universitat Politècnica de Catalunya (SARTI-UPC) and the Institut de Ciencies del Mar-Marine Science Institute (ICMSIC). Author contributions Nixon Bahamon (Conceptualization [lead], Data curation [equal], Formal Analysis [lead], Investigation [equal], Methodology [lead], Supervision [equal], Validation [equal], Writing –original draft [lead], Writing –review & editing [lead]), Damianos Chatzievangelou (Conceptualization [equal], Data curation [equal], Formal Analysis [lead], Investigation [equal], Methodology [equal], Writing –review & editing [equal]), Spyros Fifas (Data curation [equal], Investigation [equal], Methodology [equal], Writing –review & editing [equal]), Jennifer Doyle (Conceptualization [equal], Investigation [equal], Writing –review & editing [equal]), Michela Martinelli (Conceptualization [equal], Formal Analysis [equal], Methodology [equal], Resources [equal], Writing –review & editing [equal]), Joan B. Company (Conceptualization [equal], Formal Analysis [equal], Investigation [equal], Methodology [equal], Writing –review & editing [equal]), Jacopo Aguzzi (Conceptualization [equal], Formal Analysis [equal], Investigation [equal], Methodology [equal], Writing –review & editing [equal]) Supplementary material The supplementary material is available at ICESJMS online. Conflict of interest : The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Funding D.C. was funded by Juan de la Cierva Formación Postdoctoral Fellowship (MCIN/AEI/10.13039/501100011033 and European Union Next Generation EU/PRTR, grant FJC2021047734-I) and by the European Union through the Horizon Europe MSCA grant 101104596. We want to thank the support from EU DIGI4ECO (101112883-GAP-101112883) and REDRESS (101135492-GAP-101135492) projects. Data availability The data underlying this article will be shared on reasonable request to the corresponding author. References Aguzzi J , Bahamon N, Doyle J et al. Burrow emergence rhythms of Nephrops norvegicus by UWTV and surveying biases. Sci Rep 2021; 11 :5797. https://doi.org/10.1038/s415980218 5240-3 Aguzzi J , Company JB, Sardà F. The activity rhythm of berried and unburied females of Nephrops norvegicus (Decapoda, Nephropidae). Crustaceana 2007; 80 :1121–1134. https://doi.org/10.1163/156854 007782008577 Aguzzi J , Costa C, Furushima Y et al. Behavioral rhythms of hydrocarbon seep fauna in relation to internal tides. Mar Ecol Progr Ser 2010; 418 :47–56. https://doi.org/10.3354/meps08835 Aguzzi J , García JA, Sardà F et al. A benthic biological clock reflects environmental and physiological constraints in the deep-sea Nephrops norvegicus . Chronobiol Int 2012; 29 :757–767. https://doi.org/10.3 109/07420528.2012.682429 Aguzzi J , Sardà F. A history of recent advancements on Nephrops norvegicus behavioral and physiological rhythms. Rev Fish Biol Fisher 2008; 18 :235–248. https://doi.org/10.1007/s11160007907 1-9 Aguzzi J , Sardà F, Abelló P et al. Diel and seasonal patterns of Nephrops norvegicus (Decapoda: nephropidae) catchability in the western Mediterranean. Mar Ecol Progr Ser 2003; 258 :201–211. https://doi. org/10.3354/meps258201 Aguzzi J , Sardà F, Allué R. Seasonal dynamics in Nephrops norvegicus (Decapoda: nephropidae) catches off the Catalan coasts (Western Mediterranean). Fish Res 2004; 69 :293–300. https://doi.org/10.101 6/j.fishres.2004.04.010 Aguzzi J , Sbragaglia V, Tecchio S et al. Rhythmic behaviour of marine benthopelagic species and the synchronous dynamics of benthic communities. Deep Sea Res Part I 2015; 95 :1–11. https://doi.org/10 .1016/j.dsr.2014.10.003 Aguzzi J , Vigo M, Bahamon N et al. Burrow emergence rhythms of deep-water Mediterranean Norway lobster ( Nephrops norvegicus ) revealed by acoustic telemetry. Rev Fish Biol Fisher 2023; 33 :1465– 1482. https://doi.org/10.1007/s11160023097872 Angel MV . Life in the benthic boundary layer: connections to the midwater and sea floor. Philos Trans R Soc London A 1990; 331 :15–28 Atkinson RJA , Naylor E. An endogenous activity rhythm and the rhythmicity of catches of Nephrops norvegicus . J Exp Mar Biol Ecol 1976; 25 :95–108. https://doi.org/10.1016/0022-0981(76)900 79-4 Baden SP , Pihl L, Rosenberg R. Effects of oxygen depletion on the ecology, blood physiology and fishery of the Norway lobster Nephrops norvegicus . Mar Ecol Progr Ser 1990; 67 :141–155. https://doi.org/ 10.3354/meps067141 Bell MC , Elson JM, Addison JT et al. Trawl catch composition in relation to Norway lobster ( Nephrops norvegicus L.) abundance on the Farn Deeps grounds. Fish Res 2008; 90 :128–137. https://doi.org/10 .1016/j.fishres.2007.10.003 Björnsson B , Dombaxe MAD. Quality of Nephrops as food for Atlantic cod ( Gadus morhua L.) with possible implications for fisheries management. ICES J Mar Sci 2004; 61 :983–991. https://doi.org/10.101 6/j.icesjms.2004.06.017 Chapman CJ . Observing Norway lobster, Nephrops norvegicus (L.) by towed sledge fitted with photographic and television cameras. In: J.D. George, G.I. Lythgoe, J.N. Lythgoe (Eds.), Underwater Photography and Television for Scientists , Oxford, UK: Clarendon Press, 1985, 100–108. Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025
Tidal modulation of Nephrops norvegicus burrow emergence 9 Chiesa JJ , Aguzzi J, García JA et al. Light intensity determines temporal niche switching of behavioral activity in deep-water Nephrops norvegicus (Crustacea: decapoda). J Biol Rhythms 2010; 25 :277– 287. https://doi.org/10.1177/0748730410376159 Cristo M , Cartes JE. A comparative study of the feeding ecology of Nephrops norvegicus (L.), (Decapoda: nephropidae) in the bathyal Mediterranean and the adjacent Atlantic. Scientia Marina 1998; 62 :81–90. https://doi.org/10.3989/scimar.1998.62s181 Dobby H , Doyle J, Jónasson J et al. ICES Survey Protocols—Manual for Nephrops Underwater TV Surveys, coordinated under ICES Working Group on Nephrops Surveys (WGNEPS). ICES Techniq Mar Environ Sci 2021; 65 :39. https://doi.org/10.17895/ices.pub.8014 Egbert GD , Erofeeva SY. Efficient inverse modeling of barotropic ocean tides. J Atmos Oceanic Technol 2002; 19 :183–204. https://doi.org/ 10.1175/1520-0426(2002)019%3c0183:EIMOBO%3e2.0.CO;2 FAO . In: Fishery and Aquaculture Statistics. Global capture production 1950-2021 (FishStatJ) . Rome: FAO Fisheries and Aquaculture Division [online], 2023. www.fao.org/fishery/en/statistics/software/fishs tatj (1 December 2024, date last accessed). Farmer ASD . Field assessments of diurnal activity in Irish Sea populations of the Norway lobster Nephrops norvegicus (L.) (Decapoda: nephropidae). Estuarine Coast Mar Sci 1974; 2 :37–47. https://doi.or g/10.1016/03023524(74)900267 Greene CA . Tide Model Driver (TMD), Version 3.0 . Natick, Massachusetts, USA: MATLAB Central File Exchange, 2023. https://gi thub.com/chadagreene/TideModelDriver (1 November 2024, date last accessed). Hammond RD , Naylor E. Effects of dusk and down on locomotor activity rhythms in the Norway lobster Nephrops norvegicus . Mar Biol 1977; 39 :253–260. https://doi.org/10.1007/BF00390999 Hastie TJ , Tibshirani RJ. Generalized Additive Models . London: Chapman and Hall/CRC, 1990. Hillis JP . Factors affecting catchability in Nephrops: current speed . Copenhagen, Denmark: ICES CM 1996/K:21, 1996. ICES . Working Group on Nephrops Surveys (WGNEPS; outputs from 2019). ICES Sci Rep 2020; 2 :85. https://doi.org/10.17895/ices.pub. 5968 ICES . Working Group for the Bay of Biscay and Iberian Waters Ecoregion (WGBIE). ICES Sci Rep 2024; 6 :762. https://doi.org/10.17895 /ices.pub.25908130 Issifu I , Alava JJ, Lam VW et al. Impact of ocean warming, overfishing and mercury on European fisheries: a risk assessment and policy solution framework. Front Mar Sci 2022; 8 :770805. https://doi.org/ 10.3389/fmars.2021.770805 Karagiorgos J , Vervatis V, Sofianos S. The impact of tides on the Bay of Biscay dynamics. J Mar Sci Eng 2020; 8 :617. https://doi.org/10.339 0/jmse8080617 STECF . 2023 Scientific, Technical and Economic Committee for Fisheries—Stock assessments in the Western Mediterranean Sea (STECF 23-09) . A. Mannini, A. Ligas, A. Pierucci (eds), Luxembourg: Publications Office of the European Union, 2023. https: //doi.org/10.2760/995295.JRC135661 Naylor E , Atkinson RJA. Rhythmic behaviour of Nephrops and some other marine crustaceans. J Exp Mar Biol Ecol 1976; 25 :95–108.ht tps://doi.org/10.1016/00220981(76)900794 R Core Team . R: A language and environment for statistical computing . Vienna, Austria: R Foundation for Statistical Computing, 2024. https://www.R-project.org (10 November 2024, date last accessed). Redant F , De Clerck R. Diurnal variations in CPUE and length composition of the catches in a Nephrops directed fishery in the Central North Sea, ICES C.M./K: 3 . Copenhagen, Denmark: International Council for the Exploration of the Sea, 1984. Sbragaglia V , Aguzzi J, Garcia JA et al. Dusk but not dawn burrow emergence rhythms of Nephrops norvegicus (Crustacea: decapoda. Scientia Marina 2013; 77 :641–647. https://doi.org/10.3989/scimar .03902.28C Sbragaglia V , García JA, Chiesa JJ et al. Effect of simulated tidal currents on the burrow emergence rhythms of the Norway lobster ( Nephrops norvegicus ). Mar Biol 2015; 162 :2007–2016. https://doi.org/10.100 7/s0022701527265 Schlitzer R . Ocean Data View, Version 5.6.0 . 2024. https://odv.awi.de/ (15 October 2024, date last accessed). Simpson AC . Variations in the catches of Nephrops norvegicus at different times of day and night. Rapp P-VRéun CIEM 1965; 156 :186– 189. Tuck ID , Atkinson RJA, Chapman CJ. The structure and seasonal variability in the spatial distribution of Nephrops norvegicus burrows. Ophelia 1994; 40 :13–25. https://doi.org/10.1080/00785326.1994. 10429547 Vigo M , Navarro J, Giménez J et al. Using molecular and stable isotope markers to identify the main predators of Nephrops norvegicus in Mediterranean deep-water ecosystems. Mar Ecol Progr Ser 2022; 695 :95–108 https://doi.org/10.3354/meps 14110 Wood SN . Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J R Statist Soc Ser B Statist Methodol 2011; 73 :3–36. https://doi.org/10 .1111/j.1467-9868.2010.00749.x Zacchetti L , Martinelli M, Colella S et al. Seasonal variations in the feeding ecology of Nephrops norvegicus in the Adriatic Sea: insights from stomach contents and stable isotope analyses. Mar Ecol Progr Ser 2022; 695 :109–123. https://doi.org/10.3354/meps14 119 Handling Editor: Junita Karlsen ©The Author(s) 2025. Published by Oxford University Press on behalf of International Council for the Exploration of the Sea. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Downloaded from https://academic.oup.com/icesjms/article/82/11/fsaf205/8340174 by guest on 04 December 2025