Changes in a benthic system exposed to multiple stressors: a 40-year time-series in the English Channel
- Published
- Accepted
- Subject Areas
- Biodiversity, Ecology, Marine Biology, Climate Change Biology, Biological Oceanography
- Keywords
- macrofauna, diversity, community structure, soft-sediment, environmental stress, oil spill, multivariate analysis, long-term change
- Copyright
- © 2018 Thiébaut et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Changes in a benthic system exposed to multiple stressors: a 40-year time-series in the English Channel. PeerJ Preprints 6:e26745v1 https://doi.org/10.7287/peerj.preprints.26745v1
Abstract
Long-term series are an essential resource to assess temporal changes in biodiversity and disentangle the relative role of external and internal factors on community dynamics. In the Bay of Morlaix, benthic samples were collected at one station in a sandy community over a forty-year period (1977-2016) using the same design. During this period, the community was exposed to a major oil spill but also to gradual changes in sediment grain size and temperature. Q-mode and r-mode analyses were performed to describe the trajectory of the community and identify taxa contributing to variation in faunal composition among years. A type 3 Similarities Profiles analysis was carried out to assess which species groups covary coherently. Over time, different periods were reported included the effect of the oil spill, the following recovery period, and a large shift in the community structure in the absence of specific events. The species groups identified by the SIMPER analysis showed very different temporal variations according to the expected species sensitivity to different stressors and to biotic interactions. Our results highlight that benthic community may exhibit highly complex dynamics which cannot be easily assigned to one cause of change, raising the question of a reference status for managers.
Author Comment
This submission is intended for the World Conference on Marine Biodiversity (WCMB) Collection.