Effects of indiscriminate fisheries on a group of small data-poor species in Thailand

被引:12
|
作者
Aylesworth, Lindsay [1 ]
Phoonsawat, Ratanavaree [2 ]
Vincent, Amanda C. J. [1 ]
机构
[1] Univ British Columbia, Project Seahorse, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada
[2] Minist Agr & Cooperat, Dept Fisheries, 2143-1 Chatuchak, Bangkok 10900, Thailand
关键词
CITES; data-poor; fisheries management; seahorses; Thailand; vulnerability analysis; LIFE-HISTORY INFORMATION; SMALL-SCALE FISHERIES; MARINE FISHERIES; STOCK ASSESSMENT; CATCH LIMITS; CORAL-REEFS; MANAGEMENT; SEAHORSES; CONSERVATION; BYCATCH;
D O I
10.1093/icesjms/fsx193
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
As catches of economically valuable target fishes decline, indiscriminate fisheries are on the rise, where commercial and small-scale fishers retain and sell an increasing number of marine species. Some of these catches are destined for international markets and subject to international trade regulations. Many of these species are considered "data-poor" in that there are limited data on their biology, ecology, and exploitation, which poses a serious management challenge for sustainable fisheries and trade. Our research explores the relative pressure exerted by such indiscriminate fisheries on a data-poor marine fish genus-seahorses (Hippocampus spp.)-whose considerable international trade is regulated globally. Our focus is Thailand, a dominant fishing nation and the world's largest exporter of seahorses, where we gathered data by interviewing commercial and small-scale fishers and through port sampling of landed catch. We estimate that annual catches were more than threefold larger than previously documented, approximating 29 million individuals from all gears. Three fishing gears-two commercial (otter and pair trawl) and one small-scale (gillnet)-caught the most individuals. Results from port sampling and our vulnerability analysis confirmed that H. kelloggi, H. kuda, and H. trimaculatus were the three species (of seven found in Thai waters) most susceptible to fishing. Small-scale gillnets captured the majority of specimens under length at maturity, largely due to catches of juvenile H. kuda and H. trimaculatus. This research indicates a role for vulnerability analysis to initiate precautionary management plans while more extensive studies can be conducted.
引用
收藏
页码:642 / 652
页数:11
相关论文
共 50 条
  • [21] Contrasting Paradigms for Fisheries Management Decision Making: How Well Do They Serve Data-Poor Fisheries?
    Bentley, Nokome
    Stokes, Kevin
    [J]. MARINE AND COASTAL FISHERIES, 2009, 1 (01): : 391 - 401
  • [23] How to estimate life history ratios to simplify data-poor fisheries assessment
    Prince, Jeremy D.
    Wilcox, Chris
    Hall, Norman
    [J]. ICES JOURNAL OF MARINE SCIENCE, 2023, 80 (10) : 2619 - 2629
  • [24] Harnessing fishery-independent indicators to aid management of data-poor fisheries: weighing habitat and fishing effects
    Nash, Kirsty L.
    Bijoux, Jude
    Robinson, Jan
    Wilson, Shaun K.
    Graham, Nicholas A. J.
    [J]. ECOSPHERE, 2016, 7 (07):
  • [25] Poor-data and data-poor species stock assessment using a Bayesian hierarchical approach
    Jiao, Yan
    Cortes, Enric
    Andrews, Kate
    Guo, Feng
    [J]. ECOLOGICAL APPLICATIONS, 2011, 21 (07) : 2691 - 2708
  • [26] Assessing Data-Poor Barrier Trap Fisheries in Akyatan Lagoon, Eastern Mediterranean Sea
    İsmet Saygu
    [J]. Thalassas: An International Journal of Marine Sciences, 2022, 38 : 321 - 329
  • [27] Using an integrative approach to evaluate shrimp bycatch from subtropical data-poor fisheries
    Rodrigues Filho, Jorge L.
    Dolbeth, Marina
    Bernardes Jr, Jurandir J.
    Ogashawara, Igor
    Branco, Joaquim O.
    [J]. FISHERIES RESEARCH, 2020, 230
  • [28] Analytical reference points for age-structured models: application to data-poor fisheries
    Brooks, Elizabeth N.
    Powers, Joseph E.
    Cortes, Enric
    [J]. ICES JOURNAL OF MARINE SCIENCE, 2010, 67 (01) : 165 - 175
  • [29] Assessing Data-Poor Barrier Trap Fisheries in Akyatan Lagoon, Eastern Mediterranean Sea
    Saygu, Ismet
    [J]. THALASSAS, 2022, 38 (01): : 321 - 329
  • [30] A stepwise stochastic simulation approach to estimate life history parameters for data-poor fisheries
    Nadon, Marc O.
    Ault, Jerald S.
    [J]. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 2016, 73 (12) : 1874 - 1884