Abstract

Fish communities are multispecies assemblages, so ideally multispecies models should be used directly for assessing this resource. However, progress in this direction has been slow, partly because these models are often more complex and take longer to fit, rendering them too slow to demonstrate near-real-time utility, and thus creating a perception that they are opaque to stakeholders. In this study we implemented a multispecies assessment for the Irish Sea, fitting a model of eight key stocks directly to catch and survey data. Two novel features of our approach allowed the multispecies model to be fitted within a few hours. Firstly, by using size-based theory and life-history invariants to specify many of the required properties of stocks, we reduced the number of general parameters that needed to be fitted directly to a more manageable 25. Secondly, by using state-of-the-art fitting methods, we found acceptable solutions quickly enough to provide assessments within the timescale of an advisory meeting. The outcomes were compared with the standard single species assessments of the same eight species. Model fits were generally good for either catch or at least one of the surveys, but not for all data sources at the same time, illustrating the challenges of fitting multiple stocks to different data sources simultaneously. Estimates of SSB and F agreed qualitatively with the assessments for most stocks with the exception of whiting. Estimates of natural mortality showed modest year to year variability, suggesting that single species assessments may be appropriate for short term tactical management. This method shows great promise for making multispecies assessments as a complement to existing assessments because of the rapid turnaround time and ability to respond at meetings to the requests of stakeholders. In addition, because these models avoid our current dependence on existing single species models they can be used to provide boundary conditions in natural mortality for standard assessment models and check for internal consistency in the assessment process. Furthermore, they are easily accessible because they are based upon freely available code.

Highlights

  • The incorporation of ecosystem information into operational fisheries management has been mandated at international level (FAO, 2008) and incorporated into legislative frameworks in Europe (EU, 2008, 2013) and the United States (NOAA, 2016)

  • LeMans is well suited for use whenever there is a need for multispecies or mixed-fisheries analysis but where the management questions are internal to the fish-community and do not require the use of more complicated models, such as Atlantis (Fulton et al, 2011)

  • For cod (Figure 2), which was fitted to the commercial catches, beam trawl and the otter trawl survey, the LeMans model fits well to the rock-hopper otter trawl (ROT) survey and captures the pattern of the beam trawl survey, but fits less well to the catch and General Overture (GOV) survey

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Summary

Introduction

The incorporation of ecosystem information into operational fisheries management has been mandated at international level (FAO, 2008) and incorporated into legislative frameworks in Europe (EU, 2008, 2013) and the United States (NOAA, 2016). Though some examples incorporate limited ecosystem interactions (Marshall et al, 2019), most management is based upon single species stock assessments (Skern-Mauritzen et al, 2016). This despite it being widely acknowledged that fish populations, along with other taxa in the ecosystem, interact through predation and competition for resource, which means that natural mortality is not in general constant (Daan, 1987), but instead depends upon the abundance of all populations. As a step towards an ecosystem approach, the management of exploited fish populations should use multispecies assessment alongside the existing single species modeling (see e.g., Howell et al, 2021). Within the European Union (EU), multispecies models are used primarily to provide natural mortality boundary conditions for singlespecies assessments [at present, for the North Sea (ICES, 2019a) and Baltic Sea (ICES, 2020a) using the Stochastic Multispecies Model (SMS: Lewy and Vinther, 2004)]; ICES multispecies advice supports ecosystem overviews [e.g., ICES Greater North Sea Ecosystem (ICES, 2020b) and Baltic Ecosystem (ICES, 2020c)], but is in general not used operationally

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