Describing properties of littoral habitats from NW Mediterranean rocky shores through co-occurrence network analysis. (5th November 2021)

• Record Type: Journal Article
• Authors: Dedeu, Arnau L.; Alonso, David; Ontiveros, Vicente J.; Ballesteros, Enric; Mariani, Simone
• Is Part Of: Estuarine, coastal and shelf science. Volume 262(2021)
• Publication Date: 2021-11-05
• Subjects: Marine communities -- Species relations -- Network analysis -- Mediterranean sea -- Species frequency; Estuarine oceanography -- Periodicals; Coasts -- Periodicals; Estuarine biology -- Periodicals; Seashore biology -- Periodicals; Coasts; Estuarine biology; Estuarine oceanography; Seashore biology; Periodicals; 551.461805
• DOI: 10.1016/j.ecss.2021.107623
• Languages: English
• ISSNs: 0272-7714

Abstract

Abstract: Littoral habitats are commonly defined by environmental properties and the presence of certain dominant species. This conception relies on species' frequencies and/or abundances, but often omits co-occurrence relationships. In an effort to incorporate this information, we here used presence-absence data from visual censuses of 16 mediolittoral habitats from North-western Mediterranean Sea rocky shores to build co-occurrence networks. These were compared to networks built using species frequency data. Network analyses were done for the entire mediolittoral zone as a unit, and for each habitat individually. For each habitat, network topology revealed central hubs of highly co-occurring species that scored high in degree and eigenvector centrality, essentially corresponding to the most frequent species, both in the mediolittoral zone as a whole and within each of the habitats. Many species, however, co-occurred disproportionately to their frequencies, which highlights the relevance of co-occurrence estimations for habitat descriptions. Some habitats had clear modules as separate habitat subunits. Values of Shannon-Wiener diversity and evenness were well associated with most network metrics, but not with graph density, which helped uncover inhomogeneous species relationships within a same habitat throughout the sampling sites. The habitat features observed mostly supported current phytosociological subdivisions. This stresses the importance of network tools for depicting and describing habitat types, as they provide complementary information to conventional descriptions and may help identify habitat sub-groups, or to define unclassified habitats. Highlights: Mapping co-occurrence networks can help describe habitat types, species relations within habitats and to identify subgroups within habitats. Co-occurrence networks help support the use of known phytosociological subdivisions and define unclassified habitats. Co-occurrence estimations based on presence-absence data show that littoral species may co-occur disproportionately to their frequency.