南海多物种渔业开发指标的广泛评估,为中国更实际、更精确的管理提供信息

IF 8.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2025-04-01 Epub Date: 2025-03-17 DOI:10.1016/j.ecolind.2025.113363
Kui Zhang , Li Su , Zuozhi Chen , Yongsong Qiu
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引用次数: 0

摘要

中国是全球最大的海洋捕捞渔业生产国。20世纪70年代以来的过度捕捞导致了中国沿海水域渔业资源的减少。改革开放后,中国实施了一系列管理措施,以缓解海洋捕捞压力,保护渔业资源。本文对南中国海(SCS)的多物种渔业进行了综合评估,以探讨渔业管理是否有效地恢复了资源。同时利用统计捕捞数据和调查数据对主要商品鱼类的开发利用状况进行了评价。结果显示,底拖网渔业发生了重大变化,其占总渔获量的比例从上升趋势转变为目前的下降趋势。60年来,南海底拖网渔业的物种组成发生了重大变化。基于捕捞数据的种群评估结果显示出一些积极的信号,鲱鱼、凤尾鱼、鲭鱼和鳞片等小型远洋鱼类从过度捕捞/过度捕捞中恢复到健康状态。而长梭鱼、石斑鱼等高营养等级鱼类的开发利用状况仍处于过度捕捞状态。基于长度数据的评估不太乐观。我们的不确定性分析表明,与这里考虑的两种基于长度的模型相比,基于捕集量的模型对参数的敏感性较低。我们主张在中国实行更加务实和精准的渔业管理,如基于类别/物种的管理,进一步优化和完善捕捞结构,发展科学的配额制度,纳入气候因素的生态系统管理,以及为严重过度捕捞或具有高生态价值的鱼类建立海洋保护区。
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An extensive assessment of exploitation indicators for multispecies fisheries in the South China Sea to inform more practical and precise management in China
China is the largest producer of marine capture fisheries globally. Overfishing since the 1970s has led to a decline in fishery resources in Chinese coastal waters. After China’s reform and opening up, a series of management measures were implemented to alleviate marine fishing pressure and conserve the fisheries resources. We conducted a comprehensive assessment for multispecies fisheries in the South China Sea (SCS) to explore whether fisheries management has been effective in recovery of the resources. Indicators of the exploitation status of major commercial fish species were assessed using statistical catch data and survey data simultaneously. The results reveal a significant shift in bottom-trawl fishery, with its share of the total catch transitioning from an upward to a currently downward trend. The species composition of bottom-trawl fisheries has undergone substantial changes in the SCS over six decades. Stock assessment results based on catch data indicated some positive signals, with small pelagic fishes, such as herrings, anchovies, mackerel and scad recovering from overfished/overfishing to a healthy status. However, the exploitation status of high-trophic-level fish species, such as conger pike and groupers, were still in overfished status. Assessment based on length data was less optimistic. Our uncertainty analysis showed that the catch-based model is less sensitive to parameters compared with the two length-based models considered here. We advocate for more practical and precise fisheries management in China, such as category/species-based management, further optimization and improvement of the fishing structure, development of a scientific quota-based system, ecosystem management that incorporates climate factors, and establishment of marine protected areas for fish species that are severely overfished or have high ecological value.
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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.
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