@article {ISI:000353740700016,
	title = {{Rapid assessment of fish communities on submerged oil and gas platform reefs using remotely operated vehicles}},
	journal = {FISHERIES RESEARCH},
	volume = {167},
	year = {2015},
	month = {jul},
	pages = {143{\textendash}155},
	type = {Article},
	abstract = {Remotely operated vehicles (ROVs) provide a non-extractive approach to characterizing fish communities in complex habitats. Despite the demonstrated effectiveness of ROVs in studying reef fishes over natural hard-bottom and small artificial reefs, there has been little application of this technology to larger artificial structures (10s of m tall and wide), We explored the utility of ROVs in rapidly characterizing an assemblage of fishes associated with an artificial reef complex in the western Gulf of Mexico (26.9-28.2 degrees N; 95.5-97.0 degrees W) dominated by partially removed and toppled oil and gas platforms. This study reports on an efficient method to sample these structures, where we integrated depth-interval transect (DIT) and continuous roving transect (CRT) protocols to document fish distribution and community structure on 14 artificial reef sites. Consistent with previous hydroacoustic studies, south Texas artificial reefs exhibited a vertically heterogeneous distribution of fishes that varied with structure orientation. These reefs were dominated by economically important lutjanids and carangids, both of which presented sampling challenges due to their patchy distribution around these vast structures. The non-uniform distribution and mobility of these dominant taxa highlight the utility of adopting roving approaches to assess fish communities on these complex structures. We conclude our study with a discussion of important logistical challenges associated with micro-ROV surveys in deepwater habitats, and potential complementary approaches to assist documentation of demersal fishes inhabiting a persistently turbid bottom layer. (C) 2015 Elsevier B.V. All rights reserved.},
	keywords = {ROV Jason (Remotely Operated Vehicle)},
	issn = {0165-7836},
	doi = {10.1016/j.fishres.2015.02.011},
	author = {Ajemian, Matthew J and Wetz, Jennifer Jarrell and Shipley-Lozano, Brooke and Stunz, Gregory W}
}
