Pelagic and demersal fish population rebuilding in response to fisheries-induced evolution in exploited China Seas

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Guankui Liu , Peng Sun , Jin Gao , Fabian Zimmermann , Yongjun Tian , Mikko Heino
{"title":"Pelagic and demersal fish population rebuilding in response to fisheries-induced evolution in exploited China Seas","authors":"Guankui Liu ,&nbsp;Peng Sun ,&nbsp;Jin Gao ,&nbsp;Fabian Zimmermann ,&nbsp;Yongjun Tian ,&nbsp;Mikko Heino","doi":"10.1016/j.ecolind.2024.112742","DOIUrl":null,"url":null,"abstract":"<div><div>Marine ecosystems are undergoing life-history adaptations with impacts on productivity, resilience, and economic value due to Fisheries-Induced Evolution (FIE). Long-term and often intense selective commercial harvesting has led to truncations in population structure and evolutionary changes in key life-history traits. However, the consequences for different functional groups have rarely been evaluated, especially in the context of rebuilding depleted marine stocks. This study uses an individual-based eco-genetic modeling approach to investigate the effects of FIE during shifts in fishing intensity. We focus on functional groups of three types of pelagic fish and three types of demersal fish with different life histories in the China Seas, proposing and evaluating two types of evolving trait response indicators to FIE, and assessing the influence of fishing intensity during the population rebuilding phase. Our results indicate that FIE has a more pronounced impact on biomass recovery in demersal fishes compared to pelagic fishes. The recovery time ranges from 10 to 40 years and strongly correlates with length at 50% vulnerability (<span><math><msub><mi>L</mi><mn>50</mn></msub></math></span>). Reductions in fishing intensity facilitate biomass recovery, particularly in demersal fishes. In conclusion, our study suggests that adopting a management approach tailored to the needs of distinct functional groups is highly beneficial for promoting the efficient recovery of declining demersal fisheries. This understanding is crucial for developing effective fishery management strategies that integrate the evolutionary responses of different functional groups.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"168 ","pages":"Article 112742"},"PeriodicalIF":7.0000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X24011993","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Marine ecosystems are undergoing life-history adaptations with impacts on productivity, resilience, and economic value due to Fisheries-Induced Evolution (FIE). Long-term and often intense selective commercial harvesting has led to truncations in population structure and evolutionary changes in key life-history traits. However, the consequences for different functional groups have rarely been evaluated, especially in the context of rebuilding depleted marine stocks. This study uses an individual-based eco-genetic modeling approach to investigate the effects of FIE during shifts in fishing intensity. We focus on functional groups of three types of pelagic fish and three types of demersal fish with different life histories in the China Seas, proposing and evaluating two types of evolving trait response indicators to FIE, and assessing the influence of fishing intensity during the population rebuilding phase. Our results indicate that FIE has a more pronounced impact on biomass recovery in demersal fishes compared to pelagic fishes. The recovery time ranges from 10 to 40 years and strongly correlates with length at 50% vulnerability (L50). Reductions in fishing intensity facilitate biomass recovery, particularly in demersal fishes. In conclusion, our study suggests that adopting a management approach tailored to the needs of distinct functional groups is highly beneficial for promoting the efficient recovery of declining demersal fisheries. This understanding is crucial for developing effective fishery management strategies that integrate the evolutionary responses of different functional groups.
中国开发海域中上层和底层鱼类种群因渔业诱发的演化而重建
由于渔业诱导进化(FIE),海洋生态系统正在经历对生命史的适应,从而对生产力、恢复力和经济价值产生影响。长期且通常密集的选择性商业捕捞导致了种群结构的截断和关键生命史特征的进化变化。然而,对不同功能群的后果很少进行评估,尤其是在重建枯竭海洋种群的背景下。本研究采用基于个体的生态遗传建模方法,研究在捕捞强度变化过程中FIE的影响。我们以中国海域具有不同生活史的3种中上层鱼类和3种底层鱼类的功能群为研究对象,提出并评估了2种进化性状对FIE的响应指标,并评估了捕捞强度在种群重建阶段的影响。结果表明,与中上层鱼类相比,FIE对底层鱼类生物量恢复的影响更为明显。恢复时间从 10 年到 40 年不等,与 50%脆弱度时的体长(L50)密切相关。降低捕捞强度有助于生物量的恢复,尤其是底栖鱼类。总之,我们的研究表明,根据不同功能群的需求采取相应的管理方法非常有利于促进衰退的底栖渔业的有效恢复。这种认识对于制定有效的渔业管理策略至关重要,这些策略应综合考虑不同功能群的进化反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信