Bottom trawling effects on marine macrobenthos: Changes in ecological functioning interpreted by a biological multiple traits approach
- Published
- Accepted
- Subject Areas
- Aquaculture, Fisheries and Fish Science, Ecology, Ecosystem Science, Natural Resource Management, Environmental Impacts
- Keywords
- Fisheries impact, Ecological functioning, Seafloor integrity, Biological traits, Benthic fauna
- Copyright
- © 2018 Dinesen 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. Bottom trawling effects on marine macrobenthos: Changes in ecological functioning interpreted by a biological multiple traits approach. PeerJ Preprints 6:e26739v1 https://doi.org/10.7287/peerj.preprints.26739v1
Abstract
Bottom trawling may adversely affect the ecological functioning of marine habitats and associated macrobenthos communities. While several studies have assessed the variability and sensitivity of invertebrate taxa and biodiversity indices to human impacts, few ecological indicators have proven sensitive to bottom trawling. In a recent study, trawling intensity explained more of the variation in total macrobenthos density than in species density and derived biodiversity indices; however, changes in ecological functioning were not tested. The aim of this study was to investigate whether trawling induced variation in total macrobenthos density translates into changes in ecological functioning by using 35 modalities across 8 response and effects traits. Quantitative macrobenthos time series data (2006-2015) from a complex, northern European sea (the Kattegat connecting the North Sea and Baltic Sea) were analysed to decipher ecosystem responsiveness to trawling intensity and 6 key environmental variables. Linear mixed effects models were used to identify potential indicators sensitive to bottom trawling while accounting for spatial and temporal random effects as well as for individual-species density correlations. We compare these results with those of multivariate statistical analyses (DistLM, dbDA) and discuss the fundamental implications of our findings and their application for fisheries management and seafloor integrity assessments.
Author Comment
This is an abstract which has been accepted for the WCMB 2018.