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Estimating the density of Antarctic krill ( Euphausia superba ) from multi‐beam echo‐sounder observations using distance sampling methods
Author(s) -
Cox Martin J.,
Borchers David L.,
Demer David A.,
Cutter George R.,
Brierley Andrew S.
Publication year - 2011
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/j.1467-9876.2010.00748.x
Subject(s) - echo sounding , euphausia , krill , echo (communications protocol) , sampling (signal processing) , biomass (ecology) , environmental science , beam (structure) , oceanography , geology , physics , computer science , computer network , detector , optics
Summary. Antarctic krill is a key species in the Antarctic food web, an important prey item for marine predators and a commercial fishery resource. Although single‐beam echo‐sounders are commonly used to survey the species, multi‐beam echo‐sounders may be more efficient because they sample a larger volume of water. However, multi‐beam echo‐sounders may miss animals because they involve lower energy densities. We adapt distance sampling theory to deal with this and to estimate krill density and biomass from a multi‐beam echo‐sounder survey. The method provides a general means for estimating density and biomass from multi‐beam echo‐sounder data.