ATLAS Deliverable 4.4: Reproduction, dispersal and genetic connectivity in benthos and fishes [article]

M Carreiro-Silva, A Fox, J Carlsson, JEL Carlsson, C Orejas, CNR Roterman, M Rakka, J Boavida, J González- Irusta, T Morato, M Bilan, J Movilla (+2 others)
<span title="2021-04-01">2021</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In the marine realm, the management of fishery resources, the control and prevention of invasive species and the conservation plans for threatened species or vulnerable ecosystems (some already suffering well characterized declines such as coral reefs –Aichi target 10-, seagrass, and mangroves) requires the knowledge of interconnection and interdependency of stocks, populations and communities constituting these ecosystems. A particular challenge in marine systems is that most marine organisms
more &raquo; ... xhibit a complex life cycle with two phases, including an adult stage with limited or no movements and a larval dispersive stage. In addition, many fish species can have dispersive phases during the larval, juvenile and adult phases. The direct observation and study of migratory movements is almost impossible in the oceans due to i) the reduced potential to fully access the marine environment, ii) the often minute size of the dispersing stages, iii) the often extremely large population sizes sensu stricto, and iv) the generally substantial migration distances, at adult or larval stages, with no strict a priori relationship with life history traits suspected to influence dispersal potential (Riginos et al., 2011). All those technical challenges to direct observation are of course exacerbated in the deep-sea, making models of predictive connectivity and indirect inferences a strong need. Molecular data interpreted in the theoretical framework of population genetics (Hellberg et al., 2002), ideally integrated with modelling approaches, have thus a central role to play in the study of marine connectivity. Both predictive modelling and indirect inferences based on population genomics (and in some cases on biochemical analysis of calcified structures such as otoliths or shells) need to be fed by a good knowledge of the biology and ecology of species being studied. More precisely, Lagrangian modelling of particles requires input from a diversity of fields to deliver the most accurate predictions. Mostly three fields of resear [...]
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.5281/zenodo.4658879</a> <a target="_blank" rel="external noopener" href="">fatcat:xl64rbge4vgvhn7iqo3jp6zejy</a> </span>
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