Seasonal migrations of the European sea bass (Dicentrarchus labrax L.) in UK and surrounding waters.

The movements and behaviour of mature European sea bass (Dicentrarchus labrax L.) in UK waters have not been studied extensively since a series of mark-recapture experiments during the 1970s, 80s and 90s. To better understand the timing and extent of seasonal migrations, 171 mature sea bass > 42 cm were internally tagged with floated electronic tags programmed to record temperature and depth, and released in the English Channel, in the southern North Sea and in the Irish Sea. Among the 48 tags returned to date, sea bass were at liberty for 370 ± 337 days and were recovered 172 ± 200 km from their respective release locations. Most tags were recovered from beaches (54%), or via the fishery (44%). A comparison of the reconstructed tracks from returned electronic tags with the recapture locations of 237 mark-recapture returns (6.5%) from 3615 sea bass released between 1970 and 2020 showed strong overlap. Seasonal movements between shallow areas (Q2-Q3) and deeper spawning areas (Q4-Q1) were accompanied by elevated vertical swimming speeds and average water temperatures of 8.5 °C in the English Channel and Irish Sea, but lower temperatures in the North Sea. Movements between the Celtic Sea/Irish Sea and the North Sea and vice versa demonstrate high levels of connectivity in UK waters. We demonstrate that a proportion of sea bass remained resident within the North Sea throughout the year, with a strong suggestion that spawning might be occurring. These data have significant implications for the future sustainable management of sea bass stocks in UK and surrounding waters.

Chemically Induced Extracellular Ice Nucleation Reduces Intracellular Ice Formation Enabling 2D and 3D Cellular Cryopreservation.

3D cell assemblies such as spheroids reproduce the in vivo state more accurately than traditional 2D cell monolayers and are emerging as tools to reduce or replace animal testing. Current cryopreservation methods are not optimized for complex cell models, hence they are not easily banked and not as widely used as 2D models. Here we use soluble ice nucleating polysaccharides to nucleate extracellular ice and dramatically improve spheroid cryopreservation outcomes. This protects the cells beyond using DMSO alone, and with the major advantage that the nucleators function extracellularly and hence do not need to permeate the 3D cell models. Critical comparison of suspension, 2D and 3D cryopreservation outcomes demonstrated that warm-temperature ice nucleation reduces the formation of (fatal) intracellular ice, and in the case of 2/3D models this reduces propagation of ice between adjacent cells. This demonstrates that extracellular chemical nucleators could revolutionize the banking and deployment of advanced cell models.

Pollen derived macromolecules serve as a new class of ice-nucleating cryoprotectants.

Cryopreservation of biological material is vital for existing and emerging biomedical and biotechnological research and related applications, but there remain significant challenges. Cryopreservation of cells in sub-milliliter volumes is difficult because they tend to deeply supercool, favoring lethal intracellular ice formation. Some tree pollens are known to produce polysaccharides capable of nucleating ice at warm sub-zero temperatures. Here we demonstrated that aqueous extractions from European hornbeam pollen (pollen washing water, PWW) increased ice nucleation temperatures in 96-well plates from ≈ - 13 °C to ≈ - 7 °C. Application of PWW to the cryopreservation of immortalized T-cells in 96-well plates resulted in an increase of post-thaw metabolic activity from 63.9% (95% CI [58.5 to 69.2%]) to 97.4% (95% CI [86.5 to 108.2%]) of unfrozen control. When applied to cryopreservation of immortalized lung carcinoma monolayers, PWW dramatically increased post-thaw metabolic activity, from 1.6% (95% CI [- 6.6 to 9.79%]) to 55.0% (95% CI [41.6 to 68.4%]). In contrast to other ice nucleating agents, PWW is soluble, sterile and has low cytotoxicity meaning it can be readily incorporated into existing cryopreservation procedures. As such, it can be regarded as a unique class of cryoprotectant which acts by inducing ice nucleation at warm temperatures.

Refocusing multiple stressor research around the targets and scales of ecological impacts.

Ecological communities face a variety of environmental and anthropogenic stressors acting simultaneously. Stressor impacts can combine additively or can interact, causing synergistic or antagonistic effects. Our knowledge of when and how interactions arise is limited, as most models and experiments only consider the effect of a small number of non-interacting stressors at one or few scales of ecological organization. This is concerning because it could lead to significant underestimations or overestimations of threats to biodiversity. Furthermore, stressors have been largely classified by their source rather than by the mechanisms and ecological scales at which they act (the target). Here, we argue, first, that a more nuanced classification of stressors by target and ecological scale can generate valuable new insights and hypotheses about stressor interactions. Second, that the predictability of multiple stressor effects, and consistent patterns in their impacts, can be evaluated by examining the distribution of stressor effects across targets and ecological scales. Third, that a variety of existing mechanistic and statistical modelling tools can play an important role in our framework and advance multiple stressor research.

Horizontal and vertical movements of starry smooth-hound Mustelus asterias in the northeast Atlantic.

Commercial landings of starry smooth-hound Mustelus asterias in northern European seas are increasing, whilst our knowledge of their ecology, behaviour and population structure remains limited. M. asterias is a widely distributed demersal shark, occupying the waters of the southern North Sea and Irish Sea in the north, to at least the southern Bay of Biscay in the south, and is seasonally abundant in UK waters. There are no species-specific management measures for the northeast Atlantic stock, and the complexity of its population structure is not yet fully understood. To address this issue, we deployed both mark-recapture and electronic tags on M. asterias to gain novel insights into its horizontal and vertical movements. Our data suggest that the habitat use of M. asterias changes on a seasonal basis, with associated changes in geographical distribution, depth utilisation and experienced temperature. We report the first direct evidence of philopatry for this species, and also provide initial evidence of sex-biased dispersal and potential metapopulation-like stock structuring either side of the UK continental shelf. Investigations of finer-scale vertical movements revealed clear diel variation in vertical activity. The illustrated patterns of seasonal space-use and behaviour will provide important information to support the stock assessment process and will help inform any future management options.

LeMaRns: A Length-based Multi-species analysis by numerical simulation in R.

Fish stocks interact through predation and competition for resources, yet stocks are typically managed independently on a stock-by-stock basis. The need to take account of multi-species interactions is widely acknowledged. However, examples of the application of multi-species models to support management decisions are limited as they are often seen as too complex and lacking transparency. Thus there is a need for simple and transparent methods to address stock interactions in a way that supports managers. Here we introduce LeMaRns, a new R-package of a general length-structured fish community model, LeMans, that characterises fishing using fleets that can have different gears and species catch preferences. We describe the model, package implementation, and give three examples of use: determination of multi-species reference points; modelling of mixed-fishery interactions; and examination of the response of community indicators to dynamical changes in fleet effort within a mixed-fishery. LeMaRns offers a diverse array of options for parameterisation. This, along with the speed, comprehensive documentation, and open source nature of the package makes LeMans newly accessible, transparent, and easy to use, which we hope will lead to increased uptake by the fisheries management community.

Scaling marine fish movement behavior from individuals to populations.

Understanding how, where, and when animals move is a central problem in marine ecology and conservation. Key to improving our knowledge about what drives animal movement is the rising deployment of telemetry devices on a range of free-roaming species. An increasingly popular way of gaining meaningful inference from an animal's recorded movements is the application of hidden Markov models (HMMs), which allow for the identification of latent behavioral states in the movement paths of individuals. However, the use of HMMs to explore the population-level consequences of movement is often limited by model complexity and insufficient sample sizes. Here, we introduce an alternative approach to current practices and provide evidence of how the inclusion of prior information in model structure can simplify the application of HMMs to multiple animal movement paths with two clear benefits: (a) consistent state allocation and (b) increases in effective sample size. To demonstrate the utility of our approach, we apply HMMs and adapted HMMs to over 100 multivariate movement paths consisting of conditionally dependent daily horizontal and vertical movements in two species of demersal fish: Atlantic cod (Gadus morhua; n = 46) and European plaice (Pleuronectes platessa; n = 61). We identify latent states corresponding to two main underlying behaviors: resident and migrating. As our analysis considers a relatively large sample size and states are allocated consistently, we use collective model output to investigate state-dependent spatiotemporal trends at the individual and population levels. In particular, we show how both species shift their movement behaviors on a seasonal basis and demonstrate population space use patterns that are consistent with previous individual-level studies. Tagging studies are increasingly being used to inform stock assessment models, spatial management strategies, and monitoring of marine fish populations. Our approach provides a promising way of adding value to tagging studies because inferences about movement behavior can be gained from a larger proportion of datasets, making tagging studies more relevant to management and more cost-effective.

'Listen, empower us and take action now!': reflexive-collaborative exploration of support needs in bipolar disorder when 'going up' and 'going down'.

BACKGROUND: People with a diagnosis of bipolar disorder experience mood fluctuation from depression to mania, and their support needs may differ during these fluctuations. AIMS: To investigate support needed during periods of mania and depression, and when 'going up' or 'going down'. METHOD: Five service user researchers were supported in a reflexive-collaborative approach to undertake and analyse semi-structured interviews with 16 people with a diagnosis of bipolar disorder and 11 people providing informal support. RESULTS: Support needs differed when becoming manic or depressed. When manic, people needed a calming approach and encouragement to avoid overly stimulating activities. When depressed, positive activity and engaging in everyday life routines were helpful. Three core themes determined the effectiveness of support: (1) being listened to with active engagement through affirmation and encouragement, (2) empowerment through development of personal coping and self-management strategies, and (3) early action and understanding of early warning signs to respond to developing crises and protect wellbeing. CONCLUSION: Periods of depression or mania, and lesser 'ups' and 'downs', all require different support needs. Active listening and engagement, facilitating empowerment and appropriate early action are crucial elements of effective support.

Towards social inclusion through lifelong learning in mental health: analysis of change in the lives of the EMILIA project service users.

BACKGROUND: The application of formal lifelong learning to enhance social inclusion in mental health is rarely investigated in terms of change in the lives of service users on a cross-country comparative scale. AIMS: This study was aimed at examining changes in key areas of the lives of mental health service users across eight European mental health sites. METHOD: A before and after case study design was applied. Users of mental health services who participated in the lifelong leaning interventions reviewed the changes in key areas of their lives at baseline and 10 months later, through the thematic analysis of qualitative data collected in semi-structured interviews (27 and 21, respectively) and self-reports (138 and 99, respectively). In-depth examples from one site are provided. RESULTS: Most users reported positive changes in the areas of training and social networks, with a sizeable minority moving onto unpaid and paid employment. In addition most users reported active planning for job search and other goals. Obstacles that were highlighted included the negative effects of having a mental illness, difficulties in close relationships and economic disadvantages. CONCLUSIONS: The lifelong learning intervention offered within an EU Framework 6 project to mental health service users in eight demonstration sites had a largely positive impact on key areas of their lives at 10 months, though obstacles remained which may be less amenable to change by social interventions.

Thematic analysis of Antonovsky's sense of coherence theory.

Antonovsky's sense of coherence (SOC) theory relates to the adaptive capacity of humans. In response to Antonovsky's call to study the sense of coherence concept using methods other than his orientation to life questionnaire, and to further test the application of the concept, qualitative research methods were employed. Using thematic analysis this study investigated how sense of coherence theory applied when mapped onto descriptions by 20 mental health service users of how they deal with problems that they face in their lives. The thematic analysis revealed that sense of coherence theory mapped effectively onto the interview transcripts. The analysis identified various factors that can be considered to be general resistance resources in the sense of coherence model. It also revealed distinctions between concrete and relationship orientated problem solving that led to new insights into how mechanisms of sense of coherence theory may operate. The findings suggest that sense of coherence strength may be split into coping and adaptive capacity for concrete problems and coping and adaptive capacity for relationship oriented problems. This highlights the possibility that SOC strength is not an overall adaptive capacity measure which can be applied with equal effectiveness to all challenges/problems experienced in life.