Uses of Innovative Modeling Tools within the Implementation of the Marine Strategy Framework Directive

In Europe and around the world, the approach to management of the marine environment has developed from the management of single issues (e.g., species and/or pressures) toward holistic Ecosystem Based Management (EBM) that includes aims to maintain biological diversity and protect ecosystem functioning. Within the European Union, this approach is implemented through the Marine Strategy Framework Directive (MSFD, 2008/56/EC). Integrated Ecosystem Assessment is required by the Directive in order to assess Good Environmental Status (GES). Ecological modeling has a key role to play within the implementation of the MSFD, as demonstrated here by case studies covering a range of spatial scales and a selection of anthropogenic threats. Modeling studies have a strong role to play in embedding data collected at limited points within a larger spatial and temporal scale, thus enabling assessments of pelagic and seabed habitat. Furthermore, integrative studies using food web and ecosystem models are able to investigate changes in food web functioning and biological diversity in response to changes in the environment and human pressures. Modeling should be used to: support the development and selection of specific indicators; set reference points to assess state and the achievement of GES; inform adaptive monitoring programs and trial management scenarios. The modus operandi proposed shows how ecological modeling could support the decision making process leading to appropriate management measures and inform new policy.This manuscript is a result of DEVOTES (DEVelopment Of innovative Tools for understanding marine biological diversity and assessing good Environmental Status) project, funded by the European Union under the 7th Framework Programme, “The Ocean of Tomorrow” Theme (grant agreement no. 308392), www.devotes-project.eu.Peer reviewedPeer Reviewe

Ecological and socio-economic effects of highly protected marine areas (HPMAs) in temperate waters

This study provides a synthesis of current scientific evidence on the ecological and socio-economic effects of highly protected marine areas (HPMAs), primarily in temperate waters. The aim was to establish if HPMAs can provide benefits beyond those afforded by other types of marine protected area (MPA). We identify critical interactions within and between ecological and socio-economic effects to help marine planners and managers make informed decisions about the trade-offs of alternate management actions or measures for MPAs. Well-designed and enforced MPAs with high levels of protection (HPMAs) often provide conservation benefits within their boundaries beyond those afforded by other types of MPA. Much remains to be learned about the socio-economic effects of HPMAs. Empirical evidence to date suggests that potential benefits cannot all be maximised simultaneously because potentially conflicting trade-offs exist not only between but also within ecological and socio-economic effects. Marine planners and managers must be able to evaluate the impact and distribution of trade-offs for differing management regimes; to make informed decisions about levels of protection required in MPAs to ensure sustainable use of marine resources and meet conservation objectives. One of the main challenges remains providing evidence of the societal benefits from restricting use in these areas

Uses of innovative modeling tools within the implementation of the marine strategy framework directive

© 2016 Lynam, Uusitalo, Patrício, Piroddi, Queirós, Teixeira, Rossberg, Sagarminaga, Hyder, Niquil, Möllmann, Wilson, Chust, Galparsoro, Forster, Veríssimo, Tedesco, Revilla and Neville. In Europe and around the world, the approach to management of the marine environment has developed from the management of single issues (e.g., species and/or pressures) toward holistic Ecosystem Based Management (EBM) that includes aims to maintain biological diversity and protect ecosystem functioning. Within the European Union, this approach is implemented through the Marine Strategy Framework Directive (MSFD, 2008/56/EC). Integrated Ecosystem Assessment is required by the Directive in order to assess Good Environmental Status (GES). Ecological modeling has a key role to play within the implementation of the MSFD, as demonstrated here by case studies covering a range of spatial scales and a selection of anthropogenic threats. Modeling studies have a strong role to play in embedding data collected at limited points within a larger spatial and temporal scale, thus enabling assessments of pelagic and seabed habitat. Furthermore, integrative studies using food web and ecosystem models are able to investigate changes in food web functioning and biological diversity in response to changes in the environment and human pressures. Modeling should be used to: support the development and selection of specific indicators; set reference points to assess state and the achievement of GES; inform adaptive monitoring programs and trial management scenarios. The modus operandi proposed shows how ecological modeling could support the decision making process leading to appropriate management measures and inform new policy

Using ecological models to assess ecosystem status in support of the European Marine Strategy Framework Directive

© 2015 The Authors. Published by Elsevier Ltd. The European Union's Marine Strategy Framework Directive (MSFD) seeks to achieve, for all European seas, "Good Environmental Status" (GEnS), by 2020. Ecological models are currently one of the strongest approaches used to predicting and understanding the consequences of anthropogenic and climate-driven changes in the natural environment. We assess the most commonly used capabilities of the modelling community to provide information about indicators outlined in the MSFD, particularly on biodiversity, food webs, non-indigenous species and seafloor integrity descriptors. We built a catalogue of models and their derived indicators to assess which models were able to demonstrate: (1) the linkages between indicators and ecosystem structure and function and (2) the impact of pressures on ecosystem state through indicators. Our survey identified 44 ecological models being implemented in Europe, with a high prevalence of those that focus on links between hydrodynamics and biogeochemistry, followed by end-to-end, species distribution/habitat suitability, bio-opt ical (remote sensing) and multispecies models. Approximately 200 indicators could be derived from these models, the majority of which were biomass and physical/hydrological/chemical indicators. Biodiversity and food webs descriptors, with ∼49% and ∼43% respectively, were better addressed in the reviewed modelling approaches than the non-indigenous species (0.3%) and sea floor integrity (∼8%) descriptors. Out of 12 criteria and 21 MSFD indicators relevant to the abovementioned descriptors, currently only three indicators were not addressed by the 44 models reviewed. Modelling approaches showed also the potential to inform on the complex, integrative ecosystem dimensions while addressing ecosystem fundamental properties, such as interactions between structural components and ecosystems services provided, despite the fact that they are not part of the MSFD indicators set. The cataloguing of models and their derived indicators presented in this study, aim at helping the planning and integration of policies like the MSFD which require the assessment of all European Seas in relation to their ecosystem status and pressures associated and the establishment of environmental targets (through the use of indicators) to achieve GEnS by 2020

A catalogue of marine biodiversity indicators

© 2016 Teixeira, Berg, Uusitalo, Fürhaupter, Heiskanen, Mazik, Lynam, Neville, Rodriguez, Papadopoulou, Moncheva, Churilova, Kryvenko, Krause-Jensen, Zaiko, Veríssimo, Pantazi, Carvalho, Patrício, Uyarra and Borja. A Catalogue of Marine Biodiversity Indicators was developed with the aim of providing the basis for assessing the environmental status of the marine ecosystems. Useful for the implementation of the Marine Strategy Framework Directive (MSFD), this catalogue allows the navigation of a database of indicators mostly related to biological diversity, non-indigenous species, food webs, and seafloor integrity. Over 600 indicators were compiled, which were developed and used in the framework of different initiatives (e.g., EU policies, research projects) and in national and international contexts (e.g., Regional Seas Conventions, and assessments in non-European seas). The catalogue reflects the current scientific capability to address environmental assessment needs by providing a broad coverage of the most relevant indicators for marine biodiversity and ecosystem integrity. The available indicators are reviewed according to their typology, data requirements, development status, geographical coverage, relevance to habitats or biodiversity components, and related human pressures. Through this comprehensive overview, we discuss the potential of the current set of indicators in a wide range of contexts, from large-scale to local environmental programs, and we also address shortcomings in light of current needs. Developed by the DEVOTES Project, the catalogue is freely available through the DEVOTool software application, which provides browsing and query options for the associated metadata. The tool allows extraction of ranked indicator lists best fulfilling selected criteria, enabling users to search for suitable indicators to address a particular biodiversity component, ecosystem feature, habitat, or pressure in a marine area of interest. This tool is useful for EU Member States, Regional Sea Conventions, the European Commission, non-governmental organizations, managers, scientists, and any person interested in marine environmental assessment. It allows users to build, complement or adjust monitoring programs and has the potential to improve comparability and foster transfer of knowledge across marine regions

Hearts and Minds: Mental Health Support for schools

Hearts and Minds is a collection of generic mental health case studies written by students at the University of Southern Queensland. The mental health concerns focus on those typically experienced within schools and include Anxiety, Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder, Depression, Post-Traumatic Stress Disorder and Suicidal Ideation

Using artificial neural networks to combine acoustic and trawl data in the Barents and North Seas

Groundfish have a wide and variable distribution making the use of trawling alone a highly inadequate sampling method. Trawl data provide species identification and numbers over a very small area and habitat type while acoustic data provide a wider coverage of the ecosystem, but fail to identify species. Both methods provide essential information required for assessing fish stock abundance and distribution, but no systematic method of combining these data has yet been identified. Acoustic and trawl data were collected for both the North and Barents Seas and their relationships investigated using artificial neural networks (ANNs). ANNs are information processing systems that were inspired by the structure of the brain. They can incorporate multiple variables and explore complex interactions between variables in far greater depth than many traditional statistical techniques. This modelling tool has had many successes in environmental modelling and is increasingly being applied in situations where the underlying relationships are poorly known. Network architectures, optimisation of connection weights (learning), model validation, and the reasons for the difference in performance between the North Sea and Barents Sea models are discussed

New Technologies for the Advancement of Fisheries Science

There is every reason to believe that the biology and dynamics of marine fish populations are no less complex than those of terrestrial animals. However, the technical problems of "observing" (in its widest sense) how individuals and populations behave and function in their natural environment has always been a fundamental problem in the development of our understanding of the processes that affect and regulate fish populations and, consequently, the rules and assumptions used to model the responses of fish populations to exploitation and management actions. Since Beverton and Holt wrote On the Dynamics of Exploited Fish Populations, there has been unprecedented development in the technologies available to study fish at sea and in our ability to model and predict population processes. These include, inter alia, fisheries acoustics, telemetry, molecular genetics, stable isotope microchemistry and computationally intensive modelling. In addition, developments in the technologies available to study the marine environment and to model environmental processes now allow us to integrate fish biology and the environment in a way never previously possible. Here, we explore what new technologies exist and what they may hold for the future understanding of fish biology and the development of fisheries science

Positive relationships between bottom trawl and acoustic data

Demersal fish stock biomass is usually estimated using commercial landings data, ‘tuned’ by various types of survey data, usually trawl. When collecting fish data by trawl it is only possible to take relatively small numbers of samples, but each component of the catch can be measured and resolved to species. Acoustic data, on the other hand, are easy to collect since continuous sampling can be maintained at speed (10 knots) but discerning species and size structure from data is difficult. Here we investigate whether these two different measurements of the same quantity (fish abundance/biomass) are actually related to each other. To do this, databases were built that consisted of simultaneous acoustic and catch data collected during a trawl haul. These are described as 'on station data'. Both trawl haul and acoustic data were found to have high variances and direct correlation between them tended to be weakly positive, although the spatial and temporal trajectories captured by both the trawl and acoustic data were similar. The reasons for this apparent inconsistency are explained. In many situations, however, direct positive correlation was found; relationships perhaps strong enough to be extended to acoustic data collected between trawl stations, ie. 'underway data'. Factors leading to such situations are also described. Given the number and characteristics of the favorable cases, we go on to comment whether such relationships can realistically be used in the construction of combined trawl and acoustic indices and under which conditions

Acoustic data collected during and between bottom trawl stations: consistency and common trends

Acoustic data are often collected during bottom trawl surveys. Their use can potentially improve the precision and accuracy of fish abundance estimates if acoustic data collected between trawl stations are consistent with those collected during trawling operations. This question is addressed here through the analysis of 20 bottom trawl surveys (three survey areas and five different survey series) with coincident acoustic measurements during and between trawl stations. Firstly, on-station and underway acoustic data were compared using statistics computed globally over each survey (average vertical profiles, global indices of collocations, and spatial structures) for various combinations of depth layers. Secondly, we focussed on underway acoustic data recorded in the vicinity of stations, distinguishing between data recorded before and after the tows. On-station and underway acoustic data were highly consistent, and no systematic perturbation of the acoustic sign due to the presence of the gear a few hundred metres behind the vessel was observed