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Colonization in artificial seaweed substrates: two locations, one year
Carreira-Flores, D.; Neto, R.; Ferreira, H.R.S.; Cabecinha, E.; Díaz-Agras, G.; Rubal, M.; Gomes, P.T. (2023). Colonization in artificial seaweed substrates: two locations, one year. Diversity 15(6): 733. https://dx.doi.org/10.3390/d15060733
In: Diversity. MDPI: Basel. ISSN 1424-2818; e-ISSN 1424-2818, more
Peer reviewed article  

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Keywords
    Seaweed
    Marine/Coastal
Author keywords
    epifaunal assemblages; artificial substrates; artificial seaweed monitoring system; succession

Authors  Top 
  • Carreira-Flores, D.
  • Neto, R.
  • Ferreira, H.R.S.
  • Cabecinha, E.
  • Díaz-Agras, G.
  • Rubal, M.
  • Gomes, P.T.

Abstract
    Artificial substrates have been implemented to overcome the problems associated with quantitative sampling of marine epifaunal assemblages. These substrates provide artificial habitats that mimic natural habitat features, thereby standardizing the sampling effort and enabling direct comparisons among different sites and studies. This paper explores the potential of the “Artificial Seaweed Monitoring System” (ASMS) sampling methodology to evaluate the natural variability of assemblages along a coastline of more than 200 km, by describing the succession of the ASMS’ associated macrofauna at two Rías of the Galician Coast (NW Iberian Peninsula) after 3, 6, 9, and 12 months after deployment. The results show that macrofauna assemblages harbored by ASMS differ between locations for every type of data. The results also support the hypothesis that succession in benthic communities is not a linear process, but rather a mixture of different successional stages. The use of the ASMS is proved to be a successful standard monitoring methodology, as it is sensitive to scale-dependent patterns and captures the temporal variability of macrobenthic assemblages. Hence, the ASMS can serve as a replicable approach contributing to the “Good Environmental Status” assessment through non-destructive monitoring programs based on benthic marine macrofauna monitoring, capturing the variability in representative assemblages as long as sampling deployment periods are standard.

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