Bottom Trawl Surveys - Proceedings of a Workshop Held at Ottawa ...
Bottom Trawl Surveys - Proceedings of a Workshop Held at Ottawa ...
Bottom Trawl Surveys - Proceedings of a Workshop Held at Ottawa ...
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108<br />
The uncertainties <strong>of</strong> weight estim<strong>at</strong>es are, on<br />
the other hand, a result <strong>of</strong> the sampling design<br />
and sampling r<strong>at</strong>e <strong>of</strong> commercial c<strong>at</strong>ch.<br />
The above analysis considers th<strong>at</strong> the Fo.1<br />
fishing levels and the partial recruitment<br />
coefficients, i.e. our controls, are known<br />
quantities. For instance, our results are valid<br />
for an instantaneous r<strong>at</strong>e <strong>of</strong> fishing mortality<br />
<strong>of</strong> 0.195. In practice, the Fo.1 fishing level<br />
is estim<strong>at</strong>ed from mean weight-<strong>at</strong>-age and from<br />
partial recruitment coefficients; this estim<strong>at</strong>e<br />
is not without errors. We can assess the effect<br />
<strong>of</strong> the uncertainties <strong>of</strong> the FQ.1 reference level<br />
on c<strong>at</strong>ch projections by extending the projection<br />
algorithm so as to include the simultaneous<br />
evalu<strong>at</strong>ion <strong>of</strong> FQ.1· By definition, Fo.1 is the<br />
value <strong>of</strong> F.,T which ensures th<strong>at</strong> the first<br />
partial deriv<strong>at</strong>ive <strong>of</strong> yield per recruit with<br />
respect to F.,T is equal to one tenth the value<br />
<strong>of</strong> the slope <strong>of</strong> the yield per recruit curve <strong>at</strong><br />
the origin. Rivard (1980) suggests the use <strong>of</strong><br />
the method <strong>of</strong> false position for estim<strong>at</strong>ing Fo.1<br />
from age-specific weights and from the<br />
coefficients <strong>of</strong> partial recruitment; we used<br />
th<strong>at</strong> method for estim<strong>at</strong>ing the Fo.1 reference<br />
level in the projection algorithm. Variances <strong>of</strong><br />
c<strong>at</strong>ch projections with the extended method are<br />
given in Table 9. While the rel<strong>at</strong>ive error for<br />
the 1981 stock size estim<strong>at</strong>e is not modified by<br />
this extension <strong>of</strong> the projection algorithm, the<br />
rel<strong>at</strong>ive error <strong>of</strong> the 1981 c<strong>at</strong>ch biomass (TAG)<br />
goes from 15% to 18%. This 3% difference<br />
represents the increase in rel<strong>at</strong>ive error due to<br />
the fact th<strong>at</strong> Fo.1 is now estim<strong>at</strong>ed from input<br />
d<strong>at</strong>a. It is interesting to note th<strong>at</strong> the<br />
variances <strong>of</strong> age-specific weights now account<br />
for 74% <strong>of</strong> the total variance <strong>of</strong> 1981 c<strong>at</strong>ch<br />
biomass, in comparison to 60% with 'fixed'<br />
projections. These results re-enforce the<br />
conclusions presented in the preceding paragraph<br />
regarding the importance <strong>of</strong> age-specific weight<br />
estim<strong>at</strong>es for c<strong>at</strong>ch projections.<br />
Similarly, various methods are used for<br />
estim<strong>at</strong>ing the coefficients <strong>of</strong> partial<br />
recruitment but the precision and the accuracy<br />
<strong>of</strong> such estim<strong>at</strong>es are generally unknown. In<br />
general, we expect a neg<strong>at</strong>ive correl<strong>at</strong>ion<br />
between estim<strong>at</strong>es <strong>of</strong> partial recruitment and<br />
stock size estim<strong>at</strong>es for the current year.<br />
Consequently, the results presented hereabove<br />
regarding the uncertainties <strong>of</strong> c<strong>at</strong>ch projections<br />
will not be affected if the covariance term due<br />
to this neg<strong>at</strong>ive correl<strong>at</strong>ion is <strong>of</strong> the same<br />
order <strong>of</strong> magnitude than the variance term due to<br />
partial recruitment estim<strong>at</strong>es. There is,<br />
however, an additional source <strong>of</strong> error which is<br />
rel<strong>at</strong>ed to the use <strong>of</strong> current estim<strong>at</strong>es <strong>of</strong><br />
partial recruitment for the years <strong>of</strong> projection:<br />
the current approach assumes th<strong>at</strong> the fleet<br />
composition, the gears being used and fish<br />
availability are constant for the period <strong>of</strong><br />
projection. Such error, which is not random and<br />
which is independent <strong>of</strong> stock size estim<strong>at</strong>es,<br />
does not cancel out and could introduce<br />
inaccuracies in c<strong>at</strong>ch projections. In general,<br />
such an error will influence more seriously the<br />
estim<strong>at</strong>es <strong>of</strong> partial recruitment for the<br />
youngest age-groups, which age-groups do not<br />
TABLE 9<br />
Effect <strong>of</strong> various options on the rel<strong>at</strong>ive error<br />
<strong>of</strong> calcul<strong>at</strong>ed quantities in c<strong>at</strong>ch projections:<br />
example is for cod in 4T-4Vn.<br />
A. Current methods (24%)*<br />
B. Projecting from<br />
estim<strong>at</strong>es <strong>of</strong> stock<br />
size <strong>at</strong> the beginning<br />
<strong>of</strong> the current year<br />
(Doubleday's method):<br />
a. FQ·1 known<br />
Rel<strong>at</strong>ive error for<br />
1981 1981<br />
stock size c<strong>at</strong>ch<br />
biomass<br />
1. with historical d<strong>at</strong>a 11% 15%<br />
2. annual mean<br />
weight <strong>at</strong> age<br />
calcul<strong>at</strong>ed from a<br />
von Bertalanff<br />
growth curve 11% 14%<br />
3. 25% reduction <strong>of</strong> the<br />
within-year variance<br />
<strong>of</strong> research survey<br />
estim<strong>at</strong>es 10% 14%<br />
4. the rel<strong>at</strong>ive error<br />
for mean weight <strong>at</strong><br />
age reduced to 10% 11% 11%<br />
5. Applic<strong>at</strong>ion <strong>of</strong> 3<br />
and 4 above 10% 10%<br />
b. FQ·1 expressed as a<br />
function <strong>of</strong> input<br />
inform<strong>at</strong>ion (with<br />
historical d<strong>at</strong>al 11% 18%<br />
c. Effect <strong>of</strong> some system<strong>at</strong>ic<br />
(non random) errors when<br />
method B is applied.<br />
1. 100% increase <strong>of</strong><br />
partial recruitment<br />
coefficient <strong>at</strong> age 3<br />
and 45%, <strong>at</strong> age 4<br />
for 1980 and 1981** 0.1% -2%<br />
2. In 1979, unreported<br />
50% discard <strong>at</strong> sea<br />
for age 3, 25% for<br />
age 4 0.1% 0.1%<br />
3. Unreported 80%<br />
discard <strong>at</strong> sea for<br />
age 3, from 1970<br />
to 1979 -0.5% -0.6%<br />
4. In 1979, 20% 'underreporting'<br />
for<br />
a 11 age groups 0.7% 2.5%<br />
*See Table 1; refers to the 1977 stock size.<br />
**Results also valid for method A; considers<br />
the effect <strong>of</strong> a change in r 1 on Fo.l·