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Depth and Medium-Scale Spatial Processes Influence Fish Assemblage Structure of Unconsolidated Habitats in a Subtropical Marine Park

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Title
Depth and Medium-Scale Spatial Processes Influence Fish Assemblage Structure of Unconsolidated Habitats in a Subtropical Marine Park
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0096798
Pubmed ID
Authors

Arthur L. Schultz, Hamish A. Malcolm, Daniel J. Bucher, Michelle Linklater, Stephen D. A. Smith

Abstract

Where biological datasets are spatially limited, abiotic surrogates have been advocated to inform objective planning for Marine Protected Areas. However, this approach assumes close correlation between abiotic and biotic patterns. The Solitary Islands Marine Park, northern NSW, Australia, currently uses a habitat classification system (HCS) to assist with planning, but this is based only on data for reefs. We used Baited Remote Underwater Videos (BRUVs) to survey fish assemblages of unconsolidated substrata at different depths, distances from shore, and across an along-shore spatial scale of 10 s of km (2 transects) to examine how well the HCS works for this dominant habitat. We used multivariate regression modelling to examine the importance of these, and other environmental factors (backscatter intensity, fine-scale bathymetric variation and rugosity), in structuring fish assemblages. There were significant differences in fish assemblages across depths, distance from shore, and over the medium spatial scale of the study: together, these factors generated the optimum model in multivariate regression. However, marginal tests suggested that backscatter intensity, which itself is a surrogate for sediment type and hardness, might also influence fish assemblages and needs further investigation. Species richness was significantly different across all factors: however, total MaxN only differed significantly between locations. This study demonstrates that the pre-existing abiotic HCS only partially represents the range of fish assemblages of unconsolidated habitats in the region.

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Geographical breakdown

Country Count As %
Portugal 1 1%
South Africa 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 14 20%
Student > Master 12 17%
Student > Bachelor 6 8%
Student > Doctoral Student 4 6%
Other 6 8%
Unknown 12 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 37%
Environmental Science 22 31%
Biochemistry, Genetics and Molecular Biology 1 1%
Computer Science 1 1%
Psychology 1 1%
Other 1 1%
Unknown 19 27%