Key drivers of at-vessel mortality in demersal sharks.

IF 5.2 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
David Ruiz-García, Claudio Barría, Juan A Raga, David March
{"title":"Key drivers of at-vessel mortality in demersal sharks.","authors":"David Ruiz-García, Claudio Barría, Juan A Raga, David March","doi":"10.1111/cobi.70100","DOIUrl":null,"url":null,"abstract":"<p><p>Chondrichthyans are highly vulnerable to fisheries overexploitation, and postcapture mortality poses a significant threat to most species. Global bycatch mitigation guidelines recommend adopting hierarchical decision-making approaches tailored to species-specific vulnerabilities and socioeconomic and regulatory contexts. Effective implementation of such strategies requires robust understanding of the factors driving vulnerability to postcapture mortality. To address this need, we developed a machine learning method to identify key drivers of at-vessel mortality (AVM) based on a broad set of biological, environmental, and fishing-related parameters. We sought to reveal interactions among predictors, nonlinear responses between these variables and mortality risk, and threshold values beyond which the likelihood of mortality increased markedly. We applied this approach to trawl bycatch data on small-spotted catshark (Scyliorhinus canicula) and blackmouth catshark (Galeus melastomus) in the western Mediterranean. Body size, air temperature, and on-deck time emerged as the primary AVM drivers. Mortality risk increased substantially at temperatures above 20°C for S. canicula and 16°C for G. melastomus, with on-deck exposure exceeding 15 min, and when body size was below 40 and 55 cm, respectively. Identification of these drivers and thresholds provides valuable insights for bycatch mitigation; can inform strategies for more threatened, closely related, or physiologically and ecologically similar species; and may support management authorities in adopting targeted bycatch avoidance strategies, gear selectivity, and mortality reduction measures. Such measures can be tailored to specimens, areas, and periods of heightened mortality risk to maximize effectiveness. Furthermore, our scalable modeling approach offers a robust tool for identifying critical AVM drivers across regions and species, and its applicability can be extended to broader fisheries management and global conservation efforts.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70100"},"PeriodicalIF":5.2000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conservation Biology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1111/cobi.70100","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
引用次数: 0

Abstract

Chondrichthyans are highly vulnerable to fisheries overexploitation, and postcapture mortality poses a significant threat to most species. Global bycatch mitigation guidelines recommend adopting hierarchical decision-making approaches tailored to species-specific vulnerabilities and socioeconomic and regulatory contexts. Effective implementation of such strategies requires robust understanding of the factors driving vulnerability to postcapture mortality. To address this need, we developed a machine learning method to identify key drivers of at-vessel mortality (AVM) based on a broad set of biological, environmental, and fishing-related parameters. We sought to reveal interactions among predictors, nonlinear responses between these variables and mortality risk, and threshold values beyond which the likelihood of mortality increased markedly. We applied this approach to trawl bycatch data on small-spotted catshark (Scyliorhinus canicula) and blackmouth catshark (Galeus melastomus) in the western Mediterranean. Body size, air temperature, and on-deck time emerged as the primary AVM drivers. Mortality risk increased substantially at temperatures above 20°C for S. canicula and 16°C for G. melastomus, with on-deck exposure exceeding 15 min, and when body size was below 40 and 55 cm, respectively. Identification of these drivers and thresholds provides valuable insights for bycatch mitigation; can inform strategies for more threatened, closely related, or physiologically and ecologically similar species; and may support management authorities in adopting targeted bycatch avoidance strategies, gear selectivity, and mortality reduction measures. Such measures can be tailored to specimens, areas, and periods of heightened mortality risk to maximize effectiveness. Furthermore, our scalable modeling approach offers a robust tool for identifying critical AVM drivers across regions and species, and its applicability can be extended to broader fisheries management and global conservation efforts.

海底鲨鱼在船内死亡的主要驱动因素。
软骨鱼极易受到渔业过度捕捞的影响,捕捞后的死亡率对大多数物种构成重大威胁。《全球减轻副渔获物指南》建议采用适合特定物种脆弱性以及社会经济和监管背景的分层决策方法。有效实施这类战略需要充分了解导致捕获后死亡率脆弱性的因素。为了满足这一需求,我们开发了一种机器学习方法,基于广泛的生物、环境和捕鱼相关参数来识别船上死亡率(AVM)的关键驱动因素。我们试图揭示预测因子之间的相互作用,这些变量与死亡风险之间的非线性响应,以及死亡率显著增加的阈值。我们将这种方法应用于地中海西部的小斑点猫鲨(Scyliorhinus canicula)和黑嘴猫鲨(Galeus melastomus)的拖网副渔获数据。车身尺寸、空气温度和在甲板上的时间成为AVM的主要驱动因素。当温度高于20°C时,canicula的死亡风险显著增加,16°C时,G. melastomus的死亡风险显著增加,在甲板上暴露超过15分钟,体型分别低于40和55厘米。确定这些驱动因素和阈值为减轻副渔获物提供了宝贵的见解;可以为更受威胁的、密切相关的或生理和生态上相似的物种提供策略信息;并可支持管理当局采取有针对性的避免副渔获物策略、渔具选择性和降低死亡率措施。这些措施可根据标本、地区和死亡风险较高的时期进行调整,以最大限度地发挥效力。此外,我们的可扩展建模方法为识别跨区域和物种的关键AVM驱动因素提供了一个强大的工具,其适用性可以扩展到更广泛的渔业管理和全球保护工作。
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
Conservation Biology
Conservation Biology 环境科学-环境科学
CiteScore
12.70
自引率
3.20%
发文量
175
审稿时长
2 months
期刊介绍: Conservation Biology welcomes submissions that address the science and practice of conserving Earth's biological diversity. We encourage submissions that emphasize issues germane to any of Earth''s ecosystems or geographic regions and that apply diverse approaches to analyses and problem solving. Nevertheless, manuscripts with relevance to conservation that transcend the particular ecosystem, species, or situation described will be prioritized for publication.
×
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:604180095
Book学术官方微信