Description: The Working Group on Fisheries Benthic Impact and Trade-offs (WGFBIT) develops methods and performs assessments to evaluate benthic impact from fisheries at regional scale, while con- sidering fisheries and seabed impact trade-offs. In this report, new fishery benthic impact assessments (ToR A) are shown out for several sub- regions in (French Mediterranean, Celtic Seas). For other regions, updates of the whole assess- ment or specific steps only were presented. To further standardise the different components of the WGFBIT approach across all (sub-)re- gional assessments, a more detail overview of those components was compiled. These compo- nents were slightly different among those regions, related to variation in data availability, envi- ronmental characteristics and implementation possibilities among the (sub-)regions. In WGFBIT, assessments are sometimes based on trawl or grab data, which are sampling differ- ent components of the seafloor ecosystem and can have consequences on the created sensitivity layer. Therefore, there is looked in more detail how the sensitivity outcome (and layers) can dif- fer due to the use of benthic data gathered with different gears (grab/core, trawl or video). The preliminary comparability analyses are performed on different levels: (1) based on co-located sampling; (2) comparing sensitivity maps of the (sub-) area, based on different gears. There were differences observed in longevity distribution at locations sampled with different gears and dif- ferences in data and models lead also to differences in the sensitivity layers. The WGFBIT seafloor assessment framework is not the only way to assess benthic impacts from physical disturbance. A discussion session was held on how the future workflow on advice that ICES WGFBIT assessment contribute to, will be organized. Marine sediments harbour significant levels of biodiversity that play a key role in ecosystem functions and services such as biogeochemical cycling, carbon storage and the regulation of cli- mate. Through the removal of fauna, changes in physico-chemical nature and resuspension of sediment, bottom trawling may result in significant changes in the ecosystem functioning of shelf seas. An assumption of the current PD model is that high community biomass implies higher ecosystem functioning. However, total community biomass does not necessarily reflect changes in species and functional trait composition which play a key role in regulating ecosystem func- tions. ToR D is working on an improved understanding of the link between species functional effect traits and proxies and processes for specific ecosystem functions to improve our ability to predict the impact of fishing disturbance on benthic ecosystem functioning more accurately. Links between species traits and biogeochemical parameters and the impact of trawling on these links are being explored using multivariate ordination analyses using different fauna and bioge- ochemical datasets collected in the North Sea, Celtic Sea, Kattegat, Baltic Sea and the eastern Mediterranean. Changes due to trawling in the trajectories of species densities over time and the concurrent changes in the bioturbation and bioirrigation potential of communities are being modelled using a combination of data-driven mechanistic model and a biogeochemical model. We report on the different data analysis methods that ToR D members have developed over the last year.

Description: ICES

Description: Published

Description: Refereed

Description: The Marine Strategy Framework Directive (MSFD) requires EU Member States to achieve and maintain good environmental status (GES) across their marine waters. WKBENTH3 convened as a hybrid meeting to evaluate benthic assessment methods and indicators for their potential to meet the criteria described under the MSFD Descriptor 6 (seabed integrity). They evaluated a suite of indicator methods, proposed by participants. Those included five indicator methods de-scribing the ‘Condition of the Benthic Habitat’, primarily linked to D6C5, and six indicator meth-ods for ‘Physical Disturbance on Benthic Habitats’, primarily linked to D6C3. Variants of some of the indicators as well as some other commonly used diversity indices were also assessed. A common dataset with broad regional representation was used to compare and contrast indi-cator performance with 17 benthic invertebrate datasets drawn from a range of pressure gradi-ents (14 over gradients of commercial bottom trawling intensity, 2 over gradients of eutrophica-tion and 1 over a pollution gradient). A meta-analysis of the mean response to trawling across all locations showed that most indicators had, on average, declined at the high trawl impact rel-ative to the baseline and a significant effect of trawling was detected for the indicators Commu-nity Biomass, Species Richness, Fraction of long-lived species, Median longevity, Fraction of sen-tinel species - SoS, Relative Margalef diversity index DM’, Shannon Index and Inverse Simpson. The complementarity of the different indices was computed using Spearman correlation coeffi-cients between each of the indices for all gradients, ordering indicators with Ward’s hierarchical clustering. One of the key findings was the identification of four groups of indices that showed clear patterns of association. Considering the link of indicators to different benthic community properties, WKBENTH3 proposed that the assessment of D6 should be carried out selecting a number of indicators drawn from different cluster groups to ensure that components of diver-sity, species sensitivity and abundance (density and/or biomass – or other proxy linked to benthic habitat functioning) are addressed. WKBENTH3 further ranked model-based benthic sensitivity and impact outputs across broad habitat types (BHTs) in eight different subdivisions in order to contrast indicator responses. The ranking showed a broad congruence, however, every subdivision had variation in ranking of BHTs among indicator methods. Further work is needed to determine the cause of those discrep-ancies and to look more closely at the values and the response curves generated. WKBENTH3 developed a worked example of how to estimate thresholds for GES based on the approach of ‘detectable change’. The approach was applied to each of the different pressure gra-dients and to muddy sand habitats. It was not able to estimate thresholds for all gradients da-tasets as the confidence intervals around some relationships were very wide. Experts highlighted that the assessment of seabed integrity needs to ensure that cross-regional, regional, national and local scale assessments can “talk” to each other and that they are complementarity in terms of what aspects of the ecosystem the respective indicators are capturing and what pressure they are tracking (linked to manageable human activity). Cross-regional assessments will inform whether assessments are measuring the same or similar things, allowing for such crosschecking.

Description: ICES

Description: Published

Description: Refereed