Volume 15 Issue 5
Oct.  2019
Turn off MathJax
Article Contents
Abstract
References
Related Articles
ZHANG Kui, GENG Ping, SHI Dengfu, XU Youwei, SHER KHAN Panhwar, CHEN Zuozhi. Assessment of allowable catches and exploitation state of marine fishery resources in Pakistani coastal waters[J]. South China Fisheries Science, 2019, 15(5): 1-8. DOI: 10.12131/20190065
Citation: ZHANG Kui, GENG Ping, SHI Dengfu, XU Youwei, SHER KHAN Panhwar, CHEN Zuozhi. Assessment of allowable catches and exploitation state of marine fishery resources in Pakistani coastal waters[J]. South China Fisheries Science, 2019, 15(5): 1-8. DOI: 10.12131/20190065
shu

Assessment of allowable catches and exploitation state of marine fishery resources in Pakistani coastal waters

  • 1.

    Key Laboratory of Open-Sea Fishery Development, Ministry of Agriculture and Rural Affairs; South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China

  • 2.

    College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

  • 3.

    Center of Excellence in Marine Biology, University of Karachi, Karachi 75270, Pakistan

More Information
  • Received Date: March 19, 2019
  • Revised Date: April 09, 2019
  • Accepted Date: May 24, 2019
  • Available Online: May 30, 2019
    Graphical Abstract
    • Abstract

  • According to the catch statistics data during 1950−2015, we applied a Catch-MSY model to estimate the allowable catches and maximum sustainable yields (MSYs) for 24 commercial fish groups and total allowable catch (TAC) in Pakistani coastal waters. Results show that MSY and TAC in Pakistani coastal waters were 40.53×104 t and 36.47×104 t, respectively. The total catches in 2015 were less than MSY, suggesting that the fisheries are not overfished. The MSY results show that eight fish groups (cobia, Barracudas, Groupers, Butterfishes, common dolphinfish, dorab wolf-herring, crevalle jack and largehead hairtail) have been overfished at present since the catches in 2015 exceeded MSY. At present, the marine fishery resources in Pakistani coastal waters are fully exploited. Most commercial fish groups are overfished or recovering after collapse and their development potential is relatively small. It is recommended to exploit oceanic fishery resources such as Sthenoteuthis oualaniensis in Arabian Sea in future fisheries development.

    • FullText(HTML)
    • References (29)
  • [1]
    KALHORO M A, LIU Q, VALINASSAB T, et al. Population dynamics of greater lizardfish, Saurida tumbil from Pakistani waters[J]. Pak J Zool, 2015, 47(4): 921-931.
    [2]
    FAO. Fishery and Aquaculture Country Profiles. Pakistan (2009). Country Profile Fact Sheets.[EB/OL]. (2017-12-01).http://www.fao.org/fishery/facp/PAK/en.
    [3]
    PSOMADAKIS P N, OSMANY H B, MOAZZAM M. Field identification guide to the living marine resources of Pakistan[R]. Rome: FAO, 2015.
    [4]
    FANNING L P, KHAN M W, KIDWAI S, et al. Surveys of the offshore fisheries resources of Pakistan-2010[R]. Rome: FAO Fisheries and Aquaculture Circular, 2011: 1065.
    [5]
    陈峰, 蒋日进, 朱文斌, 等. 巴基斯坦海洋渔业现状与合作开发对策分析[J]. 海洋开发与管理, 2016, 33(12): 13-18. doi: 10.3969/j.issn.1005-9857.2016.12.003
    [6]
    KALHORO M A. Population dynamics of nemipteridae and synodontidae fish families from Pakistani waters[D]. 青岛: 中国海洋大学, 2014: 17-43.
    [7]
    KALHORO M A, LIU Q, WARYANI B, et al. Growth and mortality of brushtooth lizardfish, Saurida undosquamis, from Pakistani waters[J]. Pak J Zool, 2014, 46(1): 139-151.
    [8]
    MEMON K H, LIU Q, KALHORO M A, et al. Maximum sustainable yield estimates of barramundi Lates calcarifer fishery from Pakistani waters[J]. Indian J Geo-Mar Sci, 2015, 44(6): 825-832.
    [9]
    KALHORO M A, LIU Q, MEMON K H, et al. Maximum sustainable yield of greater lizardfish Saurida tumbil fishery in Pakistan using the CEDA and ASPIC packages[J]. Acta Oceanol Sin, 2015, 34(2): 68-73. doi: 10.1007/s13131-014-0463-0
    [10]
    PANHWAR S K, LIU Q, AMIR S A, et al. Performance comparison between logistic and generalized surplus-production models applied to the Sillago sihama fishery in Pakistan[J]. J Ocean U China, 2012, 11(3): 401-407. doi: 10.1007/s11802-012-1930-x
    [11]
    张魁, 刘群, 廖宝超, 等. 渔业数据失真对两种非平衡剩余产量模型评估结果的影响比较[J]. 水产学报, 2018, 42(9): 1378-1389.
    [12]
    MACCALL A D. Depletion-corrected average catch: a simple formula for estimating sustainable yields in data-poor situations[J]. ICES J Mar Sci, 2009, 66(9): 2267-2271.
    [13]
    DICK E J, MACCALL A D. Depletion-based stock reduction analysis: a catch-based method for determining sustainable yields for data-poor fish stocks[J]. Fish Res, 2011, 110(2): 331-341. doi: 10.1016/j.fishres.2011.05.007
    [14]
    张魁, 廖宝超, 许友伟, 等. 基于渔业统计数据的南海区渔业资源可捕量评估[J]. 海洋学报, 2017, 39(8): 25-33. doi: 10.3969/j.issn.0253-4193.2017.08.003
    [15]
    MARTELL S, FROESE R. A simple method for estimating msy from catch and resilience[J]. Fish Fish, 2013, 14(4): 504-514. doi: 10.1111/j.1467-2979.2012.00485.x
    [16]
    HADDON M. Modelling and quantitative methods in fisheries (Second Edition) [M]. London: Chapman and Hall , 2001: 76-98.
    [17]
    FROESE R, PAULY D. Estimation of life history key facts. In: FishBase 2000: concepts, design and data sources. (eds Froese R and Pauly D) [R]. Philippines: ICLARM, 2000.
    [18]
    慕永通. 渔业管理: 以基于权利的管理为中心[M]. 青岛: 中国海洋大学出版社, 2006: 1-25.
    [19]
    易传剑, 周梅芳, 俞存根. 政府规制理论在我国近海渔业管理中应用的探讨[J]. 水产学报, 2012, 36(5): 787-793.
    [20]
    郭文路, 黄硕琳. 总可捕量制度不同实施方式的比较分析[J]. 海洋湖沼通报, 2001(4): 61-69. doi: 10.3969/j.issn.1003-6482.2001.04.012
    [21]
    RICARD D, MINTO C, JENSEN O P, et al. Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database[J]. Fish Fish, 2012, 13(4): 380-398. doi: 10.1111/faf.2012.13.issue-4
    [22]
    CARRUTHERS T R, PUNT A E, WALTERS C J, et al. Evaluating methods for setting catch limits in data-limited fisheries[J]. Fish Res, 2014, 153(5): 48-68.
    [23]
    BERKSON J, THORSON J T. The determination of data-poor catch limits in the United States: is there a better way?[J]. ICES J Mar Sci, 2015, 72(1): 237-242. doi: 10.1093/icesjms/fsu085
    [24]
    詹秉义. 渔业资源评估[M]. 北京: 中国农业出版社, 1995: 25-31.
    [25]
    ALLISON G. The influence of species diversity and stress intensity on community resistance and resilience[J]. Ecol Monogr, 2004, 74(1): 117-134. doi: 10.1890/02-0681
    [26]
    韩保平. 巴基斯坦海洋渔业概况[J]. 海洋渔业, 1999(2): 90-91.
    [27]
    李善勋. 巴基斯坦的海洋渔业[J]. 中国水产, 1983(9): 28-29.
    [28]
    陈新军, 钱卫国, 田思泉. 阿拉伯海北部公海海域鸢乌贼资源密度及其分布[J]. 海洋科学进展, 2006, 24(3): 360-364. doi: 10.3969/j.issn.1671-6647.2006.03.014
    [29]
    张鹏, 张俊, 李渊, 等. 秋季南海中南部海域的一次灯光罩网探捕调查[J]. 南方水产科学, 2016, 12(2): 67-74. doi: 10.3969/j.issn.2095-0780.2016.02.010
    • Related Articles

  • Related Articles

    [1]QIAO Di, LEI Ning, ZHU Junjie, ZHANG Chaonan, WANG Yanchao, ZHOU Ling. Transcriptome analysis of liver anti-MSRV responses in juvenile largemouth bass (Micropterus salmoides)[J]. South China Fisheries Science, 2024, 20(4): 164-176. DOI: 10.12131/20240050
    [2]BAO Junjie, WANG Yongjie, CHEN Honglian, SUN Wen, ZHANG Jing, ZHOU Beibei. Untargeted metabolomics analysis of metabolic differences of crayfish (Procambarus clarkii)  meat with different diets[J]. South China Fisheries Science, 2023, 19(5): 104-112. DOI: 10.12131/20230055
    [3]ZHANG Linbao, TIAN Fei, CHEN Haigang, ZHANG Zhe, YE Guoling, LI Yitong, TANG Haiwei. Comparative transcriptome analysis in livers of female and male marine medaka (Oryzias melastigma)[J]. South China Fisheries Science, 2023, 19(3): 88-97. DOI: 10.12131/20220250
    [4]LIN Feng, JIA Ruonan, WANG Faxiang, XU Qianghua. Differential analysis of microRNAs in zebrafish gills under hypoxic stress[J]. South China Fisheries Science, 2022, 18(3): 86-93. DOI: 10.12131/20210124
    [5]LIU Guangxin, DONG Yanjun, ZHAO Lijuan, DENG Yiqin, CHENG Changhong, MA Hongling, JIANG Jianjun, FENG Juan, GUO Zhixun, LIN Li. Sequencing of whole genome of Bacillus velezensis LG37 and screening of inorganic nitrogen metabolism candidate genes[J]. South China Fisheries Science, 2022, 18(3): 57-67. DOI: 10.12131/20210149
    [6]GAO Jin, WANG Yongbo, LIU Jinye, GUO Yilan, FU Shuyuan. Transcriptome analysis of Plectropomus leopardus liver under different flow velocity[J]. South China Fisheries Science, 2022, 18(1): 107-117. DOI: 10.12131/20210125
    [7]SHEN Ye, WANG Xingqiang, CAO Mei, ZHENG Nianhao, CHEN Baiyao, QIN Chuanxin. Transcriptome analysis of Exopalaemon carinicauda under low salinity stress[J]. South China Fisheries Science, 2020, 16(5): 19-32. DOI: 10.12131/20190267
    [8]PENG Min, HAN Yaoquan, WANG Dapeng, SHI Jun, WU Weijun, LI Yusen, LEI Jianjun, HE Anyou. Genetic diversity analysis of Ptychidio jordani in Xijiang River flowing through Guangxi Province based on mitochondrial Cytb gene sequence[J]. South China Fisheries Science, 2020, 16(5): 10-18. DOI: 10.12131/20200041
    [9]HUO Huanhuan, LIU Yu, ZHOU Qiubai, GUO Feng, WEI Lili, PENG Mo, ZHANG Yanping, CHEN Wenjing. Primary study on differentially expressed genes screening of Monopterus albus and their regulation mechanism[J]. South China Fisheries Science, 2020, 16(1): 1-8. DOI: 10.12131/20190176
    [10]HUANG Yong, GONG Wangbao, CHEN Haigang, XIONG Jianli, SUN Xihong. Sequencing and bioinformatic analysis for transcriptome of Micropterus salmoides based on RNA-seq[J]. South China Fisheries Science, 2019, 15(1): 106-112. DOI: 10.12131/20180066

  • Cited by

    Periodical cited type(0)

    Other cited types(1)

Catalog

    Get Citation
    PDF
    XML
    Article views PDF downloads Cited by(1)
    Related

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return