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Resumo(s)
The fish stock delineation concept has now evolved informed by knowledge affordable from a variety
of new genetic and geochemical life cycle tracers in addition to traditional morphometric, parasitological
and life history trait approaches. These can be coupled with better definition of oceanographic
processes enhanced by GIS-related modelling tools. Population structure and stock delineation are central
considerations for scientific assessment and strategic management in Fishery Sciences and have to
be addressed from a meta-population perspective where complementary technical approaches meet to
enable the best resolving power. Evaluation of analytical tools allows assessing the minimum amount
of information needed to properly delineate stock units. Single technical approaches are insufficient to
delineate complex stock structures. There is a need to harness the full power of complementary and
synergistic interdisciplinary approaches and tools; such an approach remains underused. In this special
issue we consider scientific and technical advances in some research disciplines pertinent in fish stock
delineation (i.e. Genetics, Ecology, Parasitology, Chemistry, Oceanography, Mathematics and Economics).
In this introductory chapter we identify modelling challenges and research needs required to improve
fishery assessment and management efficiency by better delineation of stocks.
Descrição
Palavras-chave
Challenges in fishery science Fish stock delineation Meta-population analyses Multidisciplinary synergy Demographic and genetic connectivity Fishery modelling
