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Fisheries acoustic surveys are routinely conducted around the world, and particularly within the ICES community. Following pre-defined transects, these surveys make use of downward active acoustic systems (i.e. so called scientific echosounders) coupled with biological sampling through fishing operations to estimate abundance and distribution of marine species. Of interest here is the HERAS survey that takes place yearly for ~1 month and is a dedicated international survey effort. It is performed across the North Sea, West of Scotland and the Malin Shelf, more specifically in the context of the Western Baltic Spring Spawning (WBSS) and North Sea Autumn Spawning (NSAS) herring stocks. Recently, the calculation of the WBSS and NSAS indices underwent a major update with the introduction of the ICES acoustic trawl database and the use of the StoX software. In the context of these recent changes, the aim of the current study is three-fold: 1. Develop R code for the automatic calculation of the NSAS and WBSS indices with the aim of minimizing manual user input. 2. Run sensitivity tests against various assumption on NSAS and WBSS indices. 3. Generate NSAS and WBSS indices under ICES TAF (Transparent Assessment Framework). Overall, good agreement was found between previously derived indices and indices calculated using automatic routines. The only large discrepancies found was for 2017 in strata 11 and 141 which is accountable to discrepancies in WBSS/NSAS stock separation in these strata. This should be investigated further but the automatic routines as derived through this project will be used in the future for the derivation of the index alongside rigorous checking of outputs. Yearly, this process will also be running on the ICES TAF framework, providing improved transparency and robustness. A secondary aim for this study was to run sensitivity tests programmatically. This was done for a range of assumptions around: calibration of acoustic instruments, stock splitting in

Whalewatching play an important socioeconomic role in many countries. Yet after 20 years of research in its effects on the targeted populations, its sustainability is now questioned. While much progress has been made to understand the short-term influences of boat-cetacean interactions for individuals and schools, the long-term consequences of those remain uncertain. Recent studies showed that the stress related to both interactions themselves and the avoidance strategies individuals used can affect the fitness of individuals and their reproductive success. The decrease in individual fitness can itself result in lowered survival probabilities, because of increases in either mortality or emigration rates. We introduce an individual-based model of population dynamics which attempt to incorporate these findings to understand their potential consequences for the dynamics of populations. This model is based on realistic scenarios in which schools of individuals are exposed to boat interactions on a daily basis. This results in different yearly cumulative exposure to boat for each individual. The relationship between survival and reproductive parameters are then linked for each individual to their boat exposure using logistic functions. Variance is introduced in these functions to highlight both the uncertainty in the relationships as well as individual variation in effect size. Using two case studies we show that whalewatching can influence the dynamics of cetacean populations and can also jeopardise the viability of populations which are already at risk.