错误长度样本对个体生长和种群状况估计的影响

IF 0.8 4区 生物学 Q4 MARINE & FRESHWATER BIOLOGY
E. Villa-Diharce, M. A. Cisneros-Mata, Evlin A. Ramírez-Félix
{"title":"错误长度样本对个体生长和种群状况估计的影响","authors":"E. Villa-Diharce, M. A. Cisneros-Mata, Evlin A. Ramírez-Félix","doi":"10.3989/scimar.05313.062","DOIUrl":null,"url":null,"abstract":"Despite its importance in fisheries studies, there is insufficient understanding on the effect of sampling error or bias on individual growth and other stock indicators. We show the influence of sample length distributions on parameter estimates, illustrating with an example. For the brown swimming crab, we simulated length samples in five configurations and estimated parameters of von Bertalanffy (k, L∞L∞ , t0), asymptotic weight ( W∞W∞ ), weight-length relationship (a, b), growth performance (ϕ’) and condition factor (Kn). Parameter estimates were compared with baseline values using relative bias, standard error and root mean square error. The results show that the accuracy and bias of parameter estimates depend on the lengths sampled. For example, the bias and accuracy of L∞L∞ and W∞W∞ vary inversely with sampled length, whereas combining length segments yields smaller biases of k and t0 than those of L∞L∞ and W∞W∞ . In general, the accuracy of parameter estimates does not always depend on sampling the entire length range, and errors are not the same for all parameters. These results are useful to guide sampling when resources are scarce. We discuss potential reasons for incomplete length sample structure and offer recommendations to obtain best estimates for parameters of interest.","PeriodicalId":21600,"journal":{"name":"Scientia Marina","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of misrepresentative length samples on individual growth and stock condition estimates\",\"authors\":\"E. Villa-Diharce, M. A. Cisneros-Mata, Evlin A. Ramírez-Félix\",\"doi\":\"10.3989/scimar.05313.062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite its importance in fisheries studies, there is insufficient understanding on the effect of sampling error or bias on individual growth and other stock indicators. We show the influence of sample length distributions on parameter estimates, illustrating with an example. For the brown swimming crab, we simulated length samples in five configurations and estimated parameters of von Bertalanffy (k, L∞L∞ , t0), asymptotic weight ( W∞W∞ ), weight-length relationship (a, b), growth performance (ϕ’) and condition factor (Kn). Parameter estimates were compared with baseline values using relative bias, standard error and root mean square error. The results show that the accuracy and bias of parameter estimates depend on the lengths sampled. For example, the bias and accuracy of L∞L∞ and W∞W∞ vary inversely with sampled length, whereas combining length segments yields smaller biases of k and t0 than those of L∞L∞ and W∞W∞ . In general, the accuracy of parameter estimates does not always depend on sampling the entire length range, and errors are not the same for all parameters. These results are useful to guide sampling when resources are scarce. We discuss potential reasons for incomplete length sample structure and offer recommendations to obtain best estimates for parameters of interest.\",\"PeriodicalId\":21600,\"journal\":{\"name\":\"Scientia Marina\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientia Marina\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.3989/scimar.05313.062\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MARINE & FRESHWATER BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientia Marina","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3989/scimar.05313.062","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MARINE & FRESHWATER BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

尽管它在渔业研究中很重要,但对抽样误差或偏差对个体生长和其他种群指标的影响了解不足。我们用一个例子说明了样本长度分布对参数估计的影响。对于褐蟹,我们模拟了5种构型的长度样本,并估计了von Bertalanffy (k, L∞L∞,t0)、渐近权值(W∞W∞)、权长关系(a, b)、生长性能(φ)和条件因子(Kn)的参数。使用相对偏差、标准误差和均方根误差比较参数估计值的基线值。结果表明,参数估计的精度和偏差与采样长度有关。例如,L∞L∞和W∞W∞的偏差和精度与采样长度成反比,而组合长度段的偏差k和t0比L∞L∞和W∞W∞的偏差更小。一般来说,参数估计的准确性并不总是依赖于对整个长度范围的采样,并且对所有参数的误差并不相同。这些结果对资源稀缺时的采样有指导意义。我们讨论了不完整长度样本结构的潜在原因,并提供了获得感兴趣参数的最佳估计的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of misrepresentative length samples on individual growth and stock condition estimates
Despite its importance in fisheries studies, there is insufficient understanding on the effect of sampling error or bias on individual growth and other stock indicators. We show the influence of sample length distributions on parameter estimates, illustrating with an example. For the brown swimming crab, we simulated length samples in five configurations and estimated parameters of von Bertalanffy (k, L∞L∞ , t0), asymptotic weight ( W∞W∞ ), weight-length relationship (a, b), growth performance (ϕ’) and condition factor (Kn). Parameter estimates were compared with baseline values using relative bias, standard error and root mean square error. The results show that the accuracy and bias of parameter estimates depend on the lengths sampled. For example, the bias and accuracy of L∞L∞ and W∞W∞ vary inversely with sampled length, whereas combining length segments yields smaller biases of k and t0 than those of L∞L∞ and W∞W∞ . In general, the accuracy of parameter estimates does not always depend on sampling the entire length range, and errors are not the same for all parameters. These results are useful to guide sampling when resources are scarce. We discuss potential reasons for incomplete length sample structure and offer recommendations to obtain best estimates for parameters of interest.
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
Scientia Marina
Scientia Marina 生物-海洋与淡水生物学
CiteScore
2.10
自引率
0.00%
发文量
21
审稿时长
6-12 weeks
期刊介绍: Scientia Marina is the successor to Investigación Pesquera, a journal of marine sciences published since 1955 by the Institut de Ciències del Mar de Barcelona (CSIC). Scientia Marina is included in the Science Citation Index since 1998 and publishes original papers, reviews and comments concerning research in the following fields: Marine Biology and Ecology, Fisheries and Fisheries Ecology, Systematics, Faunistics and Marine Biogeography, Physical Oceanography, Chemical Oceanography, and Marine Geology. Emphasis is placed on articles of an interdisciplinary nature and of general interest.
×
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