High resolution study of the spatial distributions of abyssal fishes by autonomous underwater vehicle

Milligan, R.J.; Morris, K.J.; Bett, B.J. ORCID: https://orcid.org/0000-0003-4977-9361; Durden, J.M. ORCID: https://orcid.org/0000-0002-6529-9109; Jones, D.O.B. ORCID: https://orcid.org/0000-0001-5218-1649; Robert, K.; Ruhl, H.A.; Bailey, D.M.. 2016 High resolution study of the spatial distributions of abyssal fishes by autonomous underwater vehicle. Scientific Reports, 6. 26095. 10.1038/srep26095

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Official URL: http://dx.doi.org/10.1038/srep26095

Abstract/Summary

On abyssal plains, demersal fish are believed to play an important role in transferring energy across the seafloor and between the pelagic and benthic realms. However, little is known about their spatial distributions, making it difficult to quantify their ecological significance. To address this, we employed an autonomous underwater vehicle to conduct an exceptionally large photographic survey of fish distributions on the Porcupine Abyssal Plain (NE Atlantic, 4850?m water depth) encompassing two spatial scales (1–10?km2) on and adjacent to a small abyssal hill (240?m elevation). The spatial distributions of the total fish fauna and that of the two dominant morphotypes (Coryphaenoides sp. 1 and C. profundicolus) appeared to be random, a result contrary to common expectation but consistent with previous predictions for these fishes. We estimated total fish density on the abyssal plain to be 723 individuals km?2 (95% CI: 601–844). This estimate is higher, and likely more precise, than prior estimates from trawl catch and baited camera techniques (152 and 188 individuals km?2 respectively). We detected no significant difference in fish density between abyssal hill and plain, nor did we detect any evidence for the existence of fish aggregations at any spatial scale assessed.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1038/srep26095
ISSN:	2045-2322
Date made live:	17 May 2016 15:58 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/513661

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1038/srep26095

ISSN:

2045-2322

Date made live:

17 May 2016 15:58 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/513661