Landscape effects on demersal fish revealed by field observations and predictive seabed modelling
Elliott, Sophie A. M. and Sabatino, Alessandro D. and Heath, Michael R. and Turrell, William R. and Bailey, David M. (2017) Landscape effects on demersal fish revealed by field observations and predictive seabed modelling. PLoS One, 12 (12). e0189011. ISSN 1932-6203 (https://doi.org/10.1371/journal.pone.0189011)
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Abstract
Nature conservation and fisheries management often focuses on particular seabed features that are considered vulnerable or important to commercial species. As a result, individual seabed types are protected in isolation, without any understanding of what effect the mixture of seabed types within the landscape has on ecosystem functions. Here we undertook predictive seabed modelling within a coastal marine protected area (MPA) using observations from underwater stereo-video camera deployments and environmental information (depth, wave fetch, maximum tidal speeds, distance from coast and underlying geology). The effect of the predicted substratum type, extent and heterogeneity or the diversity of substrata, within a radius of 1500 m around each camera deployment of juvenile gadoid relative abundance was analysed. The predicted substratum model performed well with wave fetch and depth being the most influential predictor variables. Gadus morhua (Atlantic cod) was associated with relatively more rugose substrata (Algal-gravel-pebble and seagrass) and heterogeneous landscapes, than Melanogrammus aeglefinus (haddock) or Merlangius merlangus (whiting) (sand and mud). An increase in M. merlangus relative abundance was observed with increasing substratum extent. These results reveal that landscape effects should be considered when protecting seabed types for fish and not just individual seabed types. These results therefore have important implications for MPA, fisheries management and monitoring advice concerning demersal fish populations.
ORCID iDs
Elliott, Sophie A. M., Sabatino, Alessandro D., Heath, Michael R. ORCID: https://orcid.org/0000-0001-6602-3107, Turrell, William R. and Bailey, David M.;-
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Item type: Article ID code: 62491 Dates: DateEvent11 December 2017Published17 November 2017AcceptedSubjects: Geography. Anthropology. Recreation > Oceanography
Science > Mathematics > Probabilities. Mathematical statisticsDepartment: Faculty of Science > Mathematics and Statistics
Strategic Research Themes > Society and PolicyDepositing user: Pure Administrator Date deposited: 30 Nov 2017 12:54 Last modified: 11 Nov 2024 11:50 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/62491