Marine & Environmental Sciences Faculty Articles
ORCID
0000-0002-8296-4780
ResearcherID
J-3058-2014
Document Type
Article
Publication Title
Scientific Reports
ISSN
2045-2322
Publication Date
5-16-2016
Keywords
Biogeography, Marine biology
Abstract
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 (Coryphaenoidessp. 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.
DOI
10.1038/srep26095
Volume
6
Issue
26095
First Page
1
Last Page
12
Additional Comments
Autonomous Ecological Surveying of the Abyss (AESA): Understanding Mesoscale Spatial Heterogeneity in the Deep Sea grant #s: NE/HO21787/1, NE/H023569/1; NERC Studentship grant #: NE/I528369
NSUWorks Citation
Rosanna Milligan, K. J. Morris, B. J. Bett, J. M. Durden, D. O. B. Jones, K. Robert, H. A. Ruhl, and D. M. Bailey. 2016. High Resolution Study of the Spatial Distributions of Abyssal Fishes by Autonomous Underwater Vehicle .Scientific Reports , (26095) : 1 -12. https://nsuworks.nova.edu/occ_facarticles/873.
Comments
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