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Metabarcoding identifies macroalgal composition as a driver of benthic invertebrate assemblages in restored habitats [Dataset]

Authors: Galobart, Cristina; Zarcero, Jesús; Antich, Adrià; Turon, Xavier; Cebrian, Emma;

Metabarcoding identifies macroalgal composition as a driver of benthic invertebrate assemblages in restored habitats [Dataset]

Abstract

Large brown macroalgal forests support diverse communities of associated invertebrates. However, human activities have led to their degradation, replacing the original macroalgal assemblages with less-complex habitats and altering the associated invertebrate communities. To counteract this, restoration actions are currently being performed aiming at their recovery. Here, we used metabarcoding of the COI gene to describe the invertebrate community of a 10-year restored macroalgal forest dominated by Gongolaria barbata. This invertebrate assemblage was compared with an assemblage adjacent to the restoration site where G. barbata is absent, and two healthy assemblages also dominated by G. barbata, used as references. Results showed that arthropods, molluscs, and annelids were the most abundant groups. Specific MOTUs representing sponge and ascidian species were exclusively found in G. barbata assemblages, suggesting that the restoration particularly benefited some of these organisms. Crustaceans and molluscs, however, were similarly abundant across assemblages, including the one dominated by photophilous macroalgae (without G. barbata), thus indicating that these mobile groups may equally colonise these alternative habitats. The overall composition of the restored assemblage did not completely resemble references, suggesting that recovering all associated diversity is a complex process, most likely influenced by multiple factors that require further investigation.

Data and code supporting the results found in the article "Metabarcoding identifies macroalgal composition as a driver of benthic invertebrate assemblages in restored habitats"

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average