Description: We gratefully acknowledge the following reviewers for their contributions during 2017.

Description: Fatty acids (FAs) were analysed in Baltic herring ( Clupea harengus membras ) stored in the Swedish Environmental Specimen Bank for up to 40 years. The purpose was to evaluate the retrospective use of FA signatures to detect temporal and spatial changes in the Baltic ecosystem. Fish from northern and central Baltic captured in the 1970s, the 1980s, in 1990, 2000, and 2009 and stored at − 25 °C were analysed. From the 1980s and onward herring from the south Baltic were included. A total of 55 FA and 4 alkenyl chains (detected as dimethyl acetals) were identified, and 28 of these (present at 〉 0.5% by weight) were used in evaluation of the data. The amount of some 20–22 carbon polyunsaturated fatty acids (PUFA) was related to time with lower amounts in older samples while other PUFAs were not related to time. Principal component analysis with saturated FAs and monounsaturated FAs showed similar sample groupings as the one obtained by including the PUFAs. The differences found in herring FA in this longitudinal study could be attributed to location of sampling, year of collection and storage time. However, the clearly distinguishable pattern in the FA composition in herrings from different locations in the Baltic Sea seen at all decades indicate that this technique can be used retrospectively.

Description: Real-time spatial management in fisheries, a type of dynamic ocean management, uses nearly real-time data collection and dissemination to reduce susceptibility of certain species or age classes to being caught in mixed fisheries. However, as with many fisheries regulations, it is difficult to assess whether such a regulation can produce tangible results on population dynamics. In this study, we take advantage of a rare opportunity in which data regarding real-time closures (RTCs) are available for 1990–2014 alongside annual estimates of fishing mortality for three species (Atlantic cod, haddock, and herring) and catch for four species (all plus saithe) in Icelandic fisheries management. We use time series analyses to assess whether RTCs work as expected and yield a lower susceptibility of small fish to being caught, indicated by lower catch levels and selectivities (as estimated from fishing mortalities) in years with more closures. Results indicate that haddock and herring followed this pattern, but only under conditions of generally high fishing mortality. This study represents the first time evidence has been presented that real-time fishery closures can have a beneficial effect on population dynamics, but also suggests that results differ among species.

Description: Ecosystem structure and function in the eastern Bering Sea are impacted by seasonal, interannual, and spatial variation of the zooplankton community. Zooplankton abundance, community composition and individual responses of key taxa, in spring, summer, and fall were evaluated across ecoregions during three years with high sea-ice, 2008–2010 (cold years). Interannual variations were greatest in spring, but less pronounced compared with intra-annual variations. Intra-annual variations were greatest in the south middle domain in spring and the north middle domain in all seasons. Models using environmental variables were able to explain 69–77% of zooplankton community variation within each season. Among individual taxa, Calanus marshallae/glacialis had delayed stage progression in spring 2009 compared with 2008 and 2010 on the south middle shelf, likely due to late ice retreat and cold temperatures that increased development times. In contrast, stage progression was fastest in summer 2008 likely due to warmer temperatures. Our findings indicate that intra-annual variation of zooplankton community composition, life history stage, and abundance within a cold period may affect the amount of high–lipid zooplankton prey (e.g. Neocalanus and Calanus spp. copepods and euphausiids) available seasonally for forage fish (e.g. age-0 walleye pollock) to grow to a sufficient size (to avoid size-dependent predation) and have sufficient lipid stores (to avoid starvation) to survive the first winter at sea.

Description: This article presents a non-invasive fully automatic procedure for Bluefin Tuna sizing, based on a stereoscopic vision system and a deformable model of the fish ventral silhouette. An image processing procedure is performed on each video frame to extract individual fish, followed by a fitting procedure to adjust the fish model to the extracted targets, adapting it to the bending movements of the fish. The proposed system is able to give accurate measurements of tuna snout fork length (SFL) and widths at five predefined silhouette points without manual intervention. In this work, the system is used to study size evolution in adult Atlantic Bluefin Tuna ( Thunnus Thynnus ) over time in a growing farm. The dataset is composed of 12 pairs of videos, which were acquired once a month in 2015, between July and October, in three grow-out cages of tuna aquaculture facilities on the west Mediterranean coast. Each grow out cage contains between 300 and 650 fish on an approximate volume of 20 000 m 3 . Measurements were automatically obtained for the 4 consecutive months after caging and suggest a fattening process: SFL shows an increase of just a few centimetres (2%) while the maximum width ( A1 ) shows a relative increase of more than 20%, mostly in the first 2 months in farm. Moreover, a linear relation (with coefficient of determination R 2 〉 0.98) between SFL and widths for each month is deduced, and a fattening factor ( F ) is introduced. The validity of the measurements is proved by comparing 15 780 SFL measurements, obtained with our automatic system in the last month, versus ground truth data of a high percentage of the stock under study (1143 out of 1579), obtaining no statistically significant difference. This procedure could be extended to other species to assess the size distribution of stocks, as discussed in the article.

Description: Refugia can facilitate the persistence of biodiversity under changing environmental conditions, such as anthropogenic climate change, and therefore constitute the best chance of survival for many coral species in the wild. Despite an increasing amount of literature, the concept of coral reef refugia remains poorly defined; so that climate change refugia have been confused with other phenomena, including temporal refuges, pristine habitats and physiological processes such as adaptation and acclimatization. We propose six criteria that determine the capacity of refugia to facilitate species persistence, including long-term buffering, protection from multiple climatic stressors, accessibility, microclimatic heterogeneity, size, and low exposure to non-climate disturbances. Any effective, high-capacity coral reef refugium should be characterized by long-term buffering of environmental conditions (for several decades) and multi-stressor buffering (provision of suitable environmental conditions with respect to climatic change, particularly ocean warming and acidification). Although not always essential, the remaining criteria are important for quantifying the capacity of potential refugia.

Description: Ecosystem-based fisheries-management (EBFM) is increasingly used in the United States (U.S.), including in the Gulf of Mexico (GOM). Producing distribution maps for marine organisms is a critical step in the implementation of EBFM. In particular, distribution maps are important inputs for many spatially-explicit ecosystem models, such as OSMOSE models, as well as for biophysical models used to predict annual recruitment anomalies due to oceanographic factors. In this study, we applied a recently proposed statistical modelling framework to produce distribution maps for: (i) younger juveniles (ages 0–1) of red snapper ( Lutjanus campechanus ), red grouper ( Epinephelus morio ), and gag ( Mycteroperca microlepis ), so as to be able to define the potential larval settlement areas of the three species in a biophysical model; and (ii) the functional groups and life stages represented in the OSMOSE model of the West Florida Shelf (“OSMOSE-WFS”). This statistical modelling framework consists of: (i) compiling a large database blending all of the encounter/non-encounter data of the GOM collected by the fisheries-independent and fisheries-dependent surveys using random sampling schemes, referred to as the “comprehensive survey database;” (ii) employing the comprehensive survey database to fit spatio-temporal binomial generalized linear mixed models (GLMMs) that integrate the confounding effects of survey and year; and (iii) using the predictions of the fitted spatio-temporal binomial GLMMs to generate distribution maps. This large endeavour allowed us to produce distribution maps for younger juveniles of red snapper, red grouper and gag and nearly all of the other functional groups and life stages represented in OSMOSE-WFS, at different seasons. Using Pearson residuals, the probabilities of encounter predicted by all spatio-temporal binomial GLMMs were demonstrated to be reasonable. Moreover, the results obtained for younger juvenile fish concur with the literature, provide additional insights into the spatial distribution patterns of these life stages, and highlight important future research avenues.

Description: In 2015 the United Nations General Assembly decided to develop an international legally binding instrument (ILBI) under the United Nations Convention on the Law of the Sea (UNCLOS) on the conservation and sustainable use of marine biological diversity of areas beyond national jurisdiction. To that end, it established a Preparatory Committee (PrepCom), to make substantive recommendations to the General Assembly on the elements of a draft text of an ILBI. The PrepCom has identified the tension between the principle of the common heritage of mankind and high seas freedoms embodied in UNCLOS as one of the issues which must be addressed in such an international agreement. Some participants in the process have proposed a sui generis regime as a way of resolving any apparent clash of these international legal principles, particularly as it relates to marine genetic resources and their access and benefit sharing. This article argues that environmental stewardship may provide the framework for such a sui generis regime. For it to do so, however, it must be grounded in international legal principles and act as a balance between competing values, perspectives and interests in the conservation and sustainable use of marine biodiversity beyond national jurisdiction. If appropriately redefined in this way, environmental stewardship can deliver a governance framework which addresses some of the central issues with which the PrepCom will have to deal. These include the practical problems of access and benefit sharing of the marine genetic resources of areas beyond national jurisdiction, and reconciling the conflicting pressure for international decision-making for the conservation and sustainable use of marine biological diversity on the one hand, and the maintenance of existing regional and sectoral frameworks on the other. Environmental stewardship, redefined, can provide an intellectual framework for an ILBI under UNCLOS on marine biodiversity beyond national jurisdiction.

Description: There is a need for automatic systems that can reliably detect, track and classify fish and other marine species in underwater videos without human intervention. Conventional computer vision techniques do not perform well in underwater conditions where the background is complex and the shape and textural features of fish are subtle. Data-driven classification models like neural networks require a huge amount of labelled data, otherwise they tend to over-fit to the training data and fail on unseen test data which is not involved in training. We present a state-of-the-art computer vision method for fine-grained fish species classification based on deep learning techniques. A cross-layer pooling algorithm using a pre-trained Convolutional Neural Network as a generalized feature detector is proposed, thus avoiding the need for a large amount of training data. Classification on test data is performed by a SVM on the features computed through the proposed method, resulting in classification accuracy of 94.3% for fish species from typical underwater video imagery captured off the coast of Western Australia. This research advocates that the development of automated classification systems which can identify fish from underwater video imagery is feasible and a cost-effective alternative to manual identification by humans.

Description: Establishing a network of marine-protected areas (MPAs) in areas beyond national jurisdiction (ABNJ) is viewed as an important measure to protect marine biodiversity. To date 12 MPAs have been established: two in the Southern Ocean and 10 in the North-East Atlantic region, and more are proposed. The Southern Ocean MPAs were adopted by Members of the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) in a complex, slow and challenging process. The North-East Atlantic MPAs were established under the OSPAR Convention and although the MPA network was established swiftly, doubts remain about whether it was a successful institutional development for the protection of marine biodiversity or just a network of ‘paper parks’. This article analyses the planning and negotiation processes that took place in establishing the 12 current MPAs to identify lessons useful for establishing MPAs in ABNJ in the future.