2023
DOI: 10.3389/fmars.2022.1014361
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Towards a unified eco-evolutionary framework for fisheries management: Coupling advances in next-generation sequencing with species distribution modelling

Abstract: The establishment of high-throughput sequencing technologies and subsequent large-scale genomic datasets has flourished across fields of fundamental biological sciences. The introduction of genomic resources in fisheries management has been proposed from multiple angles, ranging from an accurate re-definition of geographical limitations of stocks and connectivity, identification of fine-scale stock structure linked to locally adapted sub-populations, or even the integration with individual-based biophysical mo… Show more

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Cited by 5 publications
(2 citation statements)
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“…In this context, Baltazar‐Soares et al. ( 2023 ) proposed a framework to integrate genomic information on temporal projections of biodiversity distribution computed by Species Distribution Models. If dynamic epigenetic marks are used instead of genetic markers, then one can simultaneously conduct monitoring and run models at regular intervals to dynamically manage fish stocks.…”
Section: Future Perspectivesmentioning
confidence: 99%
“…In this context, Baltazar‐Soares et al. ( 2023 ) proposed a framework to integrate genomic information on temporal projections of biodiversity distribution computed by Species Distribution Models. If dynamic epigenetic marks are used instead of genetic markers, then one can simultaneously conduct monitoring and run models at regular intervals to dynamically manage fish stocks.…”
Section: Future Perspectivesmentioning
confidence: 99%
“…The accurate prediction of species' success under climate change scenarios, known as eco-evolutionary forecasting (see Glossary), is crucial for conservation (e.g. Baltazar-Soares et al, 2023;Webb et al, 2023). However, a primary scientific challenge in ecoevolutionary forecasting is understanding how environmental signals trigger an organism's responses across biological scales (e.g.…”
Section: Introductionmentioning
confidence: 99%