Taxonomic surrogates for long-term macrobenthic community monitoring: an application with community trajectory analysis - Université de Bretagne Occidentale
Article Dans Une Revue Marine Ecology Progress Series Année : 2023

Taxonomic surrogates for long-term macrobenthic community monitoring: an application with community trajectory analysis

Résumé

Biodiversity monitoring, essential to detect impacts of natural and anthropogenic changes on marine ecosystems, is costly, time-consuming and requires high taxonomic expertise. Taxonomic surrogacy might be a solution to overcome these problems and accurately reflect species-level community patterns, but its efficiency has mainly been assessed as taxonomic sufficiency and rarely from long-term monitoring data. Here, the efficiency of subset taxa (i.e. Polychaeta, Crustacea and Mollusca) for summarizing long-term community dynamics was tested in different coastal habitats. The data set came from a yearly long-term macrobenthic monitoring programme (2007-2019) in western France, in 2 biogenic and 2 bare habitats. Community trajectory analysis (CTA), a statistical approach allowing for quantitative measures and comparisons of temporal trajectories, was used to test for similitudes between overall community, subset-taxa and non-subset-taxa dynamics. Polychaeta best reflected the spatial diversity of the different sites as well as the temporal dynamics of the non-Polychaeta species, with more efficiency in biogenic compared to bare habitats. Our study confirmed that the subset-taxon method may reflect long-term benthic habitat dynamics and that CTA is an effective tool to test their efficiency.
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hal-04182177 , version 1 (03-11-2023)

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C Toumi, Olivier Gauthier, É Thiébaut, C Guedes, J Grall. Taxonomic surrogates for long-term macrobenthic community monitoring: an application with community trajectory analysis. Marine Ecology Progress Series, 2023, 714, pp.105-111. ⟨10.3354/meps14343⟩. ⟨hal-04182177⟩
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