将美国加勒比海珊瑚礁鱼类目视普查纳入渔业资源评估

IF 1.5 4区 地球科学 Q3 MARINE & FRESHWATER BIOLOGY Bulletin of Marine Science Pub Date : 2023-01-01 DOI:10.5343/bms.2023.0025
Jerald S Ault, Jeremiah Blondeau, Laura Jay W Grove, Shannon L Cass-Calay, Kevin J McCarthy
{"title":"将美国加勒比海珊瑚礁鱼类目视普查纳入渔业资源评估","authors":"Jerald S Ault, Jeremiah Blondeau, Laura Jay W Grove, Shannon L Cass-Calay, Kevin J McCarthy","doi":"10.5343/bms.2023.0025","DOIUrl":null,"url":null,"abstract":"The United States Caribbean reef fish visual census (RVC) is a fishery-independent survey of the coral reef fish community, comprised of hundreds of species, designed to provide quantitative information for data-poor fisheries to support regional stock assessments. The Caribbean RVC, implemented in 2014 as part of the National Coral Reef Monitoring Program (NCRMP), uses a probabilistic stratified random sampling design capitalizing on the strong mean-variance relationship of population abundance dependent on hardbottom habitats and depths. Here we highlight RVC data for queen triggerfish in Puerto Rico, where survey precision improved from CVs of 20.6% in 2014 to 12.6% in 2021, which produced accurate and cost-effective estimates of key assessment metrics like size-structured relative population abundance and biomass. We estimated a relatively stable exploited-phase average population abundance for 2014–2021 at 2.3 million queen triggerfish with a biomass of 1246 metric tons. To support stock assessments using “statistical catch at age” models, we generated a 2001–2021 time series of several population metrics by a statistical conversion of spatially-restricted pre-NCRMP data to the RVC frame. To cross-check assessment modeling, we combined 2014–2021 RVC results with life history demographics in an alternative length-based risk analysis (LBRA) model to evaluate stock sustainability consequences using two lifetime growth scenarios. LBRA models indicated low overfishing risks. We concluded that only a few quality fishery independent surveys are needed to obtain understanding of stock sustainability status, and that RVC not only provides reliable data for single-species stock assessments, but also for design evaluation of marine protected areas and ecosystem-based fishery management.","PeriodicalId":55312,"journal":{"name":"Bulletin of Marine Science","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating the US Caribbean reef fish visual census into fishery stock assessments\",\"authors\":\"Jerald S Ault, Jeremiah Blondeau, Laura Jay W Grove, Shannon L Cass-Calay, Kevin J McCarthy\",\"doi\":\"10.5343/bms.2023.0025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The United States Caribbean reef fish visual census (RVC) is a fishery-independent survey of the coral reef fish community, comprised of hundreds of species, designed to provide quantitative information for data-poor fisheries to support regional stock assessments. The Caribbean RVC, implemented in 2014 as part of the National Coral Reef Monitoring Program (NCRMP), uses a probabilistic stratified random sampling design capitalizing on the strong mean-variance relationship of population abundance dependent on hardbottom habitats and depths. Here we highlight RVC data for queen triggerfish in Puerto Rico, where survey precision improved from CVs of 20.6% in 2014 to 12.6% in 2021, which produced accurate and cost-effective estimates of key assessment metrics like size-structured relative population abundance and biomass. We estimated a relatively stable exploited-phase average population abundance for 2014–2021 at 2.3 million queen triggerfish with a biomass of 1246 metric tons. To support stock assessments using “statistical catch at age” models, we generated a 2001–2021 time series of several population metrics by a statistical conversion of spatially-restricted pre-NCRMP data to the RVC frame. To cross-check assessment modeling, we combined 2014–2021 RVC results with life history demographics in an alternative length-based risk analysis (LBRA) model to evaluate stock sustainability consequences using two lifetime growth scenarios. LBRA models indicated low overfishing risks. We concluded that only a few quality fishery independent surveys are needed to obtain understanding of stock sustainability status, and that RVC not only provides reliable data for single-species stock assessments, but also for design evaluation of marine protected areas and ecosystem-based fishery management.\",\"PeriodicalId\":55312,\"journal\":{\"name\":\"Bulletin of Marine Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of Marine Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5343/bms.2023.0025\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MARINE & FRESHWATER BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Marine Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5343/bms.2023.0025","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MARINE & FRESHWATER BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

美国加勒比珊瑚礁鱼类目测普查是对珊瑚礁鱼类群落进行的一项独立于渔业的调查,其中包括数百种鱼类,目的是为缺乏数据的渔业提供数量信息,以支持区域种群评估。作为国家珊瑚礁监测计划(NCRMP)的一部分,加勒比海RVC于2014年实施,采用概率分层随机抽样设计,利用种群丰度与硬底栖息地和深度之间的强均值方差关系。在这里,我们重点介绍了波多黎各触发鱼女王的RVC数据,其中调查精度从2014年的20.6%提高到2021年的12.6%,这对关键评估指标(如规模结构相对种群丰度和生物量)产生了准确且具有成本效益的估计。我们估计2014-2021年相对稳定的开发阶段平均种群丰度为230万头,生物量为1246公吨。为了支持使用“年龄统计捕鱼量”模型的种群评估,我们通过将空间受限的ncrmp前数据统计转换为RVC框架,生成了2001-2021年几个种群指标的时间序列。为了交叉检查评估模型,我们将2014-2021年RVC结果与生活史人口统计数据结合在一个基于替代长度的风险分析(LBRA)模型中,使用两种生命周期增长情景来评估种群可持续性后果。LBRA模型显示过度捕捞风险较低。我们认为,仅需要少量高质量的渔业独立调查就可以了解种群的可持续性状况,RVC不仅可以为单一物种种群评估提供可靠的数据,还可以为海洋保护区的设计评估和基于生态系统的渔业管理提供可靠的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Integrating the US Caribbean reef fish visual census into fishery stock assessments
The United States Caribbean reef fish visual census (RVC) is a fishery-independent survey of the coral reef fish community, comprised of hundreds of species, designed to provide quantitative information for data-poor fisheries to support regional stock assessments. The Caribbean RVC, implemented in 2014 as part of the National Coral Reef Monitoring Program (NCRMP), uses a probabilistic stratified random sampling design capitalizing on the strong mean-variance relationship of population abundance dependent on hardbottom habitats and depths. Here we highlight RVC data for queen triggerfish in Puerto Rico, where survey precision improved from CVs of 20.6% in 2014 to 12.6% in 2021, which produced accurate and cost-effective estimates of key assessment metrics like size-structured relative population abundance and biomass. We estimated a relatively stable exploited-phase average population abundance for 2014–2021 at 2.3 million queen triggerfish with a biomass of 1246 metric tons. To support stock assessments using “statistical catch at age” models, we generated a 2001–2021 time series of several population metrics by a statistical conversion of spatially-restricted pre-NCRMP data to the RVC frame. To cross-check assessment modeling, we combined 2014–2021 RVC results with life history demographics in an alternative length-based risk analysis (LBRA) model to evaluate stock sustainability consequences using two lifetime growth scenarios. LBRA models indicated low overfishing risks. We concluded that only a few quality fishery independent surveys are needed to obtain understanding of stock sustainability status, and that RVC not only provides reliable data for single-species stock assessments, but also for design evaluation of marine protected areas and ecosystem-based fishery management.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Bulletin of Marine Science
Bulletin of Marine Science 地学-海洋学
CiteScore
2.90
自引率
6.70%
发文量
25
审稿时长
6-12 weeks
期刊介绍: The Bulletin of Marine Science is a hybrid open access journal dedicated to the dissemination of research dealing with the waters of the world’s oceans. All aspects of marine science are treated by the Bulletin of Marine Science, including papers in marine biology, biological oceanography, fisheries, marine policy, applied marine physics, marine geology and geophysics, marine and atmospheric chemistry, meteorology, and physical oceanography. In most regular issues the Bulletin features separate sections on new taxa, coral reefs, and novel research gear, instrument, device, or system with potential to advance marine research (“Research Tools in Marine Science”). Additionally, the Bulletin publishes informative stand-alone artwork with accompany text in its section "Portraits of Marine Science."
期刊最新文献
Reproduction of Carijoa riisei (Cnidaria: Octocorallia) in the Panamanian tropical eastern Pacific Operational ecoforecasting for coral reefs using artificial intelligence and integrated near real-time environmental data Impact of the development and utilization of coastal areas of Liaodong Bay on the environmental quality of seawater A quantitative assessment of the status of benthic communities on US Atlantic coral reefs using a novel standardized approach Spatial ecology and habitat partitioning of two sympatric Ophichthid eel species in the Gulf of Mexico
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1