FN Archimer Export Format
PT J
TI Evaluating the uncertainty of abundance estimates from acoustic surveys using geostatistical simulations
BT 
AF WOILLEZ, Mathieu
   RIVOIRARD, Jacques
   FERNANDES, Paul G.
AS 1:1;2:2;3:3;
FF 1:PDG-DOP-DCN-EMH;2:;3:;
C1 IFREMER, Dept EMH, F-44311 Nantes 03, France.
   Mines ParisTech, Ctr Geosci Geostat, F-77300 Fontainebleau, France.
   Marine Lab, Aberdeen AB11 9DB, Scotland.
C2 IFREMER, FRANCE
   MINES PARISTECH, FRANCE
   FRS, UK
SI NANTES
SE PDG-DOP-DCN-EMH
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-europe
IF 1.92
TC 25
UR https://archimer.ifremer.fr/doc/2009/publication-6760.pdf
LA English
DT Article
DE ;Scottish herring;Geostatistics;Conditional simulations;Acoustic survey
AB Geostatistical simulations, which can reproduce the spatial variability of a variable, are particularly helpful in estimating the uncertainty associated with the combination of different sources of variability. Acoustic surveys offer an example of such complex situations, where different data (e.g. acoustic backscatter, fish length, and fish age) must be combined to estimate abundance and its associated uncertainty. In this paper, the uncertainty of Scottish herring acoustic-survey estimates is investigated using these techniques. A specific multivariate, geostatistical model is used to describe the structural relationships, which includes highly skewed distributions of the acoustic-backscatter data and incorporates relationships between depth, mean length, and proportions-at-age. Conditional simulations, i.e. geostatistical simulations that honour the data values known at the data points, are used to generate multiple realizations of acoustic backscatter, mean length, and proportions-at-age. These are combined to produce multiple realizations of herring density over the sampled domain. Multiple realizations of total abundance and abundance-at-age are then provided. The uncertainty is assessed using basic statistics to track the significant variations of these values over the period 1989–2005. Higher coefficients of variation (CVs) are found on average for extreme ages (ages 1, 2i, 8, and 9+); otherwise, CVs are mostly around 12% for abundance-at-age and around 10% for total abundance.
PY 2009
PD JUN
SO ICES Journal of Marine Science
SN 1054-3139
PU Oxford university press
VL 66
IS 6
UT 000267221600059
BP 1377
EP 1383
DI 10.1093/icesjms/fsp137
ID 6760
ER

EF