Impacts of distorted fishery statistical data on assessments of three surplus production models

Yingbin Wang; Ji Zheng; Zheng Wang

doi:10.1007/s00343-011-0138-z

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Impacts of distorted fishery statistical data on assessments of three surplus production models

Updated：2023-05-16

- Impacts of distorted fishery statistical data on assessments of three surplus production models
- Journal of Oceanology and Limnology Vol. 29, Issue 2, Pages: 270-276(2011)
- Affiliations：
  
  1. Fishery School of Zhejiang Ocean University
  2. School of Mechanical and Electrical Engineering of Zhejiang Ocean University
- Author bio：
- Funds：
- DOI：10.1007/s00343-011-0138-z
  CLC：
- Online First：02 March 2011，
  
  Published：2011
- Accepted：
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Wang, Y., Zheng, J. & Wang, Z. Impacts of distorted fishery statistical data on assessments of three surplus production models., Chin. J. Ocean. Limnol. 29, 270–276 (2011). https://doi.org/10.1007/s00343-011-0138-z
DOI：

Wang, Y., Zheng, J. & Wang, Z. Impacts of distorted fishery statistical data on assessments of three surplus production models., Chin. J. Ocean. Limnol. 29, 270–276 (2011). https://doi.org/10.1007/s00343-011-0138-z DOI：

摘要

Abstract

We evaluated the effect of various error sources in fishery harvest/effort data on the maximum sustainable yield (MSY) and corresponding fishing effort (E MSY) using Monte Carlo simulation analyses. A high coefficient of variation (CV) of the catch and effort values biased the estimates of MSY and E MSY. Thus

the state of the fisheries resource and its exploitation was overestimated. We compared the effect using three surplus production models

Hilborn-Waters (H-W)

Schnute

and Prager models. The estimates generated using the H-W model were significantly affected by the CV. The Schnute model was least affected by errors in the underlying data. The CV of the catch data had a greater impact on the assessment than the CV of the fishing effort. Similarly

the changes in CV had a greater impact on the estimated maximum sustainable yield (MSY) than on the corresponding estimate of fishing effort (E MSY). We discuss the likely effect of these biases on management efforts and provide suggestions for the improvement of fishery evaluations.

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references

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