Application of CYP Bioeconomic Model to the Southern Gulf of Guinea Sardinella Fishery
- Alternative Title
- CYP 생물경제모형을 이용한 남부 기니만 사디넬라 어업의 자원평가
- Abstract
- Application of CYP bioeconomic model to the Southern Gulf of Guinea sardinella fishery is estimated in this study. The results show that the present level of exploitation with the MSY level imply biological overfishing of the sardinella stock. Given the overexploited status of the sardinella resource, great improvement in the fishery can be achieved if fishing effort of 825 vessels can be reduced by 32 per cent from the present MSY level of 46,111 metric tons. But the maximum net revenue can be gradually achieved until the resource recovers to the steady state biomass associated with MEY. Based on the cost/price structure of the sardienlla fishery, we estimated the effort of 560 vessels that maximises the harvest level associated with MEY of 43,154 metric tons.
Area based catch level approach shows the evidence that Congo is catching three times more sardinella than Angola. An indication of the sensitivity of the area catch rates variation is given by design of four scenarios at 2.5, 5, 7.5 and 10 per cent so as to analyze the economic interation between Congolese and Angolan sardinella fishery industry. The outcomes predicted increasing or decreasing trends of catch, effort, fishing cost, total revenue and subsequently the profit. Zero per cent represents MSY reference point values. Therefore, under substantial effort and catch reductions on Congo side, the economic losses on Angolan side are substantially mitigated by increases in catch and effort, and economic parameters.
In the sub-region level, there should be synchronization between Congolese and Angolan surveys including other nations involved in the sardnella fishery to address the issue of transboundary sardinella resource management. Therefore, stock assessment “output control system” can be adopted in the Southern Gulf of Guinea sardinella fishery among adjacent nations. This implies an urgent need to formulate appropriate effort reduction management policies through cooperation among neibhouring States in order to derive maximum benefits from the sardinella fishery.
- Author(s)
- Bongu Matthieu MONGOLU
- Issued Date
- 2016
- Awarded Date
- 2016. 2
- Type
- Dissertation
- Publisher
- 부경대학교 글로벌수산대학원
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/12767
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002227612
- Affiliation
- 부경대학교 글로벌수산대학원
- Department
- 글로벌수산대학원 국제수산과학협동과정
- Advisor
- 남종오
- Table Of Contents
- Table of Contents i
List of Acronyms iv
List of Figures vi
List of Tables viii
Abstract x
I. Introduction 1
1.1 Research background 4
1.2 Research objectives 6
1.3 Research necessity 8
II. Overview of the Southern Gulf of Guinea fishery 9
2.1. Literature review 9
2.1.1. Angolan fisheries 14
2.1.2. Congolese fisheries 25
III. Theoretical approaches of single species and multiple fishing gears 36
3.1 Data collected 36
3.2 Methodology 39
3.2.1 Standardization of fishing effort 40
3.2.2 Clarke, Yoshimoto, and Pooley Model (CYP) (1992): MSY Estimation 45
3.2.3 CYP Bioeconomic Model: Maximum Economic Yield (MEY) 48
3.2.4 Allocation rule 52
IV. Results and discussions 55
4.1 Data analysis 55
4.1.1 Catches and catch rate of sardinella and target gear types 55
4.1.2 Economic parameters estimates for sardinella 58
4.2 Analysis of results 61
4.2.1 Standardized fishing effort 61
4.2.2 CYP Model: estimations of CPUE∞ and q/r 69
4.2.3 Estimates of MSY (CMSY) and EMSY 70
4.2.4 Estimates of MEY and EMEY 73
4.2.5 Estimates of NR at the level of MSY 76
4.2.6 Scenario of NR allocation between nations based on area catch level 77
V. Policy Implications and Conclusions 80
5.1 Consideration of transboundary spaces 80
5.2 Implications of bioeconomic analysis 81
5.2.1 Sardinella fisheries evaluation 81
5.2.2 The MEY of the Southern Gulf of Guinea sardinella 82
5.3 Recommendations for sardinella fisheries management system 85
References 88
Acknowledgements 93
- Degree
- Master
-
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- 글로벌수산대학원 > 국제수산과학협동과정
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