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Aquatic Environment and Biodiversity Annual Review 2012

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AEBAR <strong>2012</strong>: Non-protected bycatch<br />

Fishery discards are an important component of the diet of chicks, but Francis et al. (2008) were not<br />

able to assess whether the associated positive effect on population growth (e.g., from increased<br />

breeding success) is greater or less than the negative effect of fishing-related mortality.<br />

5.4.3.4.2. Quantitative models for black petrel<br />

Francis <strong>and</strong> Bell (2010) analysed data from the main population of black (Parkinson’s) petrel<br />

(Procellaria parkinsoni), which breeds on Great Barrier Isl<strong>and</strong>. Abundance data from transect surveys<br />

were used to infer that the population was probably increasing at a rate between 1.2% <strong>and</strong> 3.1% per<br />

year. Mark-recapture data were useful in estimating demographic parameters, like survival <strong>and</strong><br />

breeding success, but contained little information on population growth rates. Fishery bycatch data<br />

from observers were too sparse <strong>and</strong> imprecise to be useful in assessing the contribution of fishingrelated<br />

mortality. Francis <strong>and</strong> Bell (2010) suggested that, because the population was probably<br />

increasing, there was no evidence that fisheries posed a risk to the population at that time. They<br />

cautioned that this did not imply that there was clear evidence that fisheries do not pose a risk.<br />

Subsequent analysis (Bell et al. <strong>2012</strong>) included an additional line transect survey in 2009/10 in which<br />

the breeding population was estimated to be ~22% lower than in 2004/05 (the latest available to<br />

Francis <strong>and</strong> Bell, 2010). Updating the model of Francis <strong>and</strong> Bell (2010) made little difference to<br />

estimates of demographic parameters such as adult survival, age at first breeding, <strong>and</strong> juvenile<br />

survival (which had 95% confidence limits of 0.67 <strong>and</strong> 0.91). The uncertainty in juvenile survival<br />

gave rise to uncertainty in the estimated population trend, with a mean rate of population growth over<br />

the modelling period ranging from ‐2.5% per year (if juvenile survival = 0.67) to +1.6% per year (if<br />

juvenile survival = 0.91, close to the average annual survival rate for older birds) (Figure 5.18). Bell et<br />

al. (<strong>2012</strong>) concluded that the mean rate of change of the population over the study period had not<br />

exceeded 2% per year, though the direction of change was uncertain.<br />

Figure 5.18 (reproduced from Bell et al. <strong>2012</strong>): Likelihood profile for annual probability of juvenile<br />

survival showing: A, the loss of fit (the horizontal dotted line shows a 95% confidence interval for this<br />

parameter); <strong>and</strong> B, population trajectories corresponding to different values of juvenile survival, together<br />

with population estimates from transect counts (crosses with vertical lines indicating 95% confidence<br />

intervals. Note that the 1988 population estimate was not used in the model.<br />

105

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