Abstract

Environmental variation and, by extension, global climate change have an impact on the capacity of management systems to fulfil fishery management goals. Using the “dynamic B0” idea and a different set of years than those used to generate biomass reference points, management techniques can be changed to consider environmental data. There are two methods that have been developed to examine the effects of environmental variation on the effectiveness of management solutions. The “mechanistic technique” creates population trend predictions using the outputs from global climate models and evaluates the relationship between the environment and the population dynamics components of the fished species. While the “empirical approach” explicitly identifies mechanisms, it instead investigates potential broad scenarios. The ability to fulfil

Management goals are not much, if at all, improved by changing management tactics to take environmental elements into account, according to several reviewed research. This is only true if the way that these aspects influence the system is understood. As a result, rather than making specific predictions per se, it seems more appropriate to consider the implications of plausible broad forecasts about how biological parameters may change in the future as a way to evaluate the robustness of management strategies, at least until the skill of stock projection models improves.