Login | Request Account (DAF staff only)

Subjective judgement in data subsetting: implications for CPUE standardisation and stock assessment of non-target chondrichthyans

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Braccini, J. M., Etienne, M.-P. and Martell, S. J. D. (2011) Subjective judgement in data subsetting: implications for CPUE standardisation and stock assessment of non-target chondrichthyans. Marine and Freshwater Research, 62 (6). pp. 734-743.

[img]
Preview
PDF
399kB

Article Link: https://doi.org/10.1071/MF10172

Publisher URL: http://www.publish.csiro.au/paper/MF10172

Abstract

Standardisation of catch-per-effort (CPUE) data is an essential component for nearly all stock assessments. The first step in CPUE standardisation is to separate the comparable from the non-comparable catch and effort records and this is normally done based on subjective rules. In the present study, we used catch-and-effort data from the elephant fish (Callorhinchus milii) to illustrate the differences in CPUE when using expert judgement to define different ad hoc selection criteria used to subset these data. The data subsets were then used in the standardisation of CPUE and the stock assessment of elephant fish. The catch-and-effort subsets produced different patterns of precision and trends, each of which led to different estimates (and related uncertainty) of model parameters and management reference points. For most CPUE series, there was a very high probability that the elephant fish stock is overexploited and that overfishing is occurring. The estimates of total allowable catch (TAC) and the uncertainty around these estimates also varied considerably depending on the CPUE series used. Our study shows how sensitive TAC estimation is when there is high uncertainty in the definition of the fishing effort targeted at the species analysed.

Item Type:Article
Keywords:Bayesian, chimaeras, rays, sharks, subjectivity, uncertainty.
Subjects:Science > Statistics
Aquaculture and Fisheries > Fisheries > Fishery management. Fishery policy
Live Archive:21 Mar 2019 00:44
Last Modified:02 Feb 2023 04:56

Repository Staff Only: item control page

Downloads

Downloads per month over past year

View more statistics