Onboard sampling for measuring discards in commercial fishing based on multilevel modelling of measurements in the Irish Sea from NW England and N Wales
D. Tamsett et al., Onboard sampling for measuring discards in commercial fishing based on multilevel modelling of measurements in the Irish Sea from NW England and N Wales, FISH RES, 42(1-2), 1999, pp. 117-126
A method for onboard sampling of discards developed for the North Sea was f
ound to be unsatisfactory in the Irish Sea. An alternative method for the I
rish Sea provided data between August 1993 and September 1994 on discarding
rates at the haul and within-haul levels, as well as the trip level (the l
owest level for which data are available from the method used in the North
Sea). The data are subjected to multilevel analysis of variance to measure
components of variance associated with fishing and environmental parameters
.
Discarding rates at the haul level are affected by distance from the coast
and duration of haul. Within-haul estimates of discarding rates are analyse
d for evidence that estimates from samples of catches for hauls are over-di
spersed (relative to the dispersion associated with binomially distributed
discarding rates). This has a bearing on the optimal size that samples of c
atches for hauls should be. No evidence for over-dispersion is found for th
e Irish Sea for which the data set with within-haul data is small. However,
analysis of a data set from the English Channel for which there is a great
er volume of data at the within-haul level, has indicated significant and s
izeable over-dispersion.
An approach is outlined for calculating the optimal size that samples of ca
tches for hauls should be for estimating discarding rates as a function of
year class, and taking account of over-dispersion. Optimal sample sizes are
surprisingly small. This might render practicable the acquisition of sampl
es of hauls by fishermen in the absence of an onboard technician for analys
is by technicians post-trip. (C) 1999 Elsevier Science B.V. All rights rese
rved.