Spatial distribution of herring in the orkney/shetland area (northern north sea): A geostatistical analysis

Christos D. Maravelias , John Haralabous
{"title":"Spatial distribution of herring in the orkney/shetland area (northern north sea): A geostatistical analysis","authors":"Christos D. Maravelias ,&nbsp;John Haralabous","doi":"10.1016/0077-7579(95)90041-1","DOIUrl":null,"url":null,"abstract":"<div><p>Geostatistical methodology was used to analyse the structure and describe the spatial patterns of North Sea herring (<em>Clupea harengus</em> L.), using data from the 1992 ICES (Division IVa) acoustic survey. Three different scales of spatial structures were identified: an unresolved small-scale variability, which accounted for 48% of the total variance, and two structure components, the first being a meso-scale of ≈9 nmi (nautical miles) (≈30%) and the second a large-scale of ≈17 nmi (22%). Geostatistical analysis permitted the determination of spatial density gradients as well as patch sizes (range from 9 to 17 nmi). The use of the truncated data and the robust variogram on the raw data provided additional information for the structure. The utilization of this information in the variographic analysis resulted in better estimations. The best unbiased predictor was used to objectively map the herring population distribution by kriging. The kriging estimates were better with interpolation of a large number of points. Herring tended to aggregate mainly in meso-scale patches with a diameter of 9 nmi and to a lesser extent in large-scale patches of 17 nmi diameter. Environmental factors (depth, salinity and temperature) partly explained the spatial distribution of herring, despite the absence of a trend in the variogram structure. The study demonstrates the existence of spatial correlation and an objective way of optimal mapping of the population. Geostatistics provided additional information on herring spatial organization which is important to understand the behaviour of the species and to study its relationship with the environment.</p></div>","PeriodicalId":100948,"journal":{"name":"Netherlands Journal of Sea Research","volume":"34 4","pages":"Pages 319-329"},"PeriodicalIF":0.0000,"publicationDate":"1995-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0077-7579(95)90041-1","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Netherlands Journal of Sea Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0077757995900411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28

Abstract

Geostatistical methodology was used to analyse the structure and describe the spatial patterns of North Sea herring (Clupea harengus L.), using data from the 1992 ICES (Division IVa) acoustic survey. Three different scales of spatial structures were identified: an unresolved small-scale variability, which accounted for 48% of the total variance, and two structure components, the first being a meso-scale of ≈9 nmi (nautical miles) (≈30%) and the second a large-scale of ≈17 nmi (22%). Geostatistical analysis permitted the determination of spatial density gradients as well as patch sizes (range from 9 to 17 nmi). The use of the truncated data and the robust variogram on the raw data provided additional information for the structure. The utilization of this information in the variographic analysis resulted in better estimations. The best unbiased predictor was used to objectively map the herring population distribution by kriging. The kriging estimates were better with interpolation of a large number of points. Herring tended to aggregate mainly in meso-scale patches with a diameter of 9 nmi and to a lesser extent in large-scale patches of 17 nmi diameter. Environmental factors (depth, salinity and temperature) partly explained the spatial distribution of herring, despite the absence of a trend in the variogram structure. The study demonstrates the existence of spatial correlation and an objective way of optimal mapping of the population. Geostatistics provided additional information on herring spatial organization which is important to understand the behaviour of the species and to study its relationship with the environment.

奥克尼/设得兰地区(北海北部)鲱鱼的空间分布:地质统计学分析
利用1992年ICES(IVa分部)声学调查的数据,使用地统计学方法分析北海鲱鱼(Clupea harengus L.)的结构并描述其空间模式。确定了三个不同尺度的空间结构:一个未解决的小尺度变化,占总变化的48%,以及两个结构组成部分,第一个是≈9纳米米(海里)(≈30%)的中尺度,第二个是≈17纳米米(22%)的大尺度。地质统计学分析允许确定空间密度梯度以及斑块大小(范围从9到17纳米)。使用截断数据和原始数据上的稳健变差函数为结构提供了额外信息。在变差分析中利用这一信息产生了更好的估计。使用最佳无偏预测因子通过克里格法客观地绘制鲱鱼种群分布图。使用大量点的插值,克里格估计更好。鲱鱼倾向于主要聚集在直径为9纳米的中尺度斑块中,而在直径为17纳米的大尺度斑块中聚集的程度较小。环境因素(深度、盐度和温度)在一定程度上解释了鲱鱼的空间分布,尽管变异函数结构没有趋势。这项研究证明了空间相关性的存在,以及人口优化映射的客观方法。地统计学提供了关于鲱鱼空间组织的额外信息,这对于了解鲱鱼的行为和研究其与环境的关系很重要。
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
自引率
0.00%
发文量
0
×
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