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Landscape effects on demersal fish revealed by field observations and predictive seabed modelling.

ABSTRACT: Nature conservation and fisheries management often focus 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 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) were 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 the seabed for fish and not just individual seabed types. The landscape approach used in this study therefore has important implications for marine protected area, fisheries management and monitoring advice concerning demersal fish populations.

SUBMITTER: Elliott SAM

PROVIDER: S-EPMC5724865 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Landscape effects on demersal fish revealed by field observations and predictive seabed modelling.

Elliott Sophie A M SAM Sabatino Alessandro D AD Heath Michael R MR Turrell William R WR Bailey David M DM

PloS one 20171211 12

Nature conservation and fisheries management often focus 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 using observations from underwater stereo-video camera deployments and environ ...[more]

PMID: 29228035

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Dataset Information

Landscape effects on demersal fish revealed by field observations and predictive seabed modelling.

Publications

Landscape effects on demersal fish revealed by field observations and predictive seabed modelling.

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