Identifying statistical interaction networks in marine communities using multivariate time series analysis: An application in the Gulf of Lions

IF 2.2 2区农林科学 Q2 FISHERIES

Fisheries Research Pub Date : 2024-09-28 DOI:10.1016/j.fishres.2024.107177

Cyria Meriem Bensebaini , Grégoire Certain , Sophie Gourguet , Olivier Thébaud , Tarek Hattab , Norbert Billet , Angélique Jadaud , Jean-Marc Fromentin

{"title":"Identifying statistical interaction networks in marine communities using multivariate time series analysis: An application in the Gulf of Lions","authors":"Cyria Meriem Bensebaini , Grégoire Certain , Sophie Gourguet , Olivier Thébaud , Tarek Hattab , Norbert Billet , Angélique Jadaud , Jean-Marc Fromentin","doi":"10.1016/j.fishres.2024.107177","DOIUrl":null,"url":null,"abstract":"<div><div>The need for an ecosystem-based approach to fisheries management is widely recognized. Designing ecosystem models for management purposes requires the identification of key interactions and environmental forcing that drive the dynamics of fish stocks. This can be a very challenging task given the complexity of interactions, which determine the evolution of marine ecosystems. To overcome this difficulty, this study proposes a statistical approach based on multivariate time series analysis to identify the main biotic and abiotic interactions using as a case study of a complex and exploited marine ecosystem, the Gulf of Lions (GOL) in the Mediterranean Sea. To do so, first, pairwise Granger causality tests were performed to detect and select the strongest interactions and drivers, then followed by Multivariate Auto-Regressive (MAR) modelling techniques to evaluate the relevance of the selected causal relationships in a multivariate system. The results led to the identification of three statistical interaction networks (SINs) of moderated complexity. The first showed statistical interactions between blackbellied angler (<em>Lophius budegassa</em>), hake (<em>Merluccius merluccius</em>), grey gurnard (<em>Eutrigla gurnardus</em>), and John dory (<em>Zeus faber</em>), as well as the influence of phosphate concentration. The second focused on blackbellied angler, red mullet (<em>Mullus barbatus</em>), anchovy (<em>Engraulis encrasicolus</em>), under the combined influence of demersal trawlers, Sea Surface Temperature (SST) and nitrate concentration. Horned octopus (<em>Eledone cirrhosa</em>), capelan (<em>Trisopterus capelanus</em>), and sardine (<em>Sardina pilchardus</em>) were also investigated under the influence of nitrate concentration. These SINs can serve as a basis to build models of intermediate complexities to describe the dynamics of the main fish stocks of the GOL.</div></div>","PeriodicalId":50443,"journal":{"name":"Fisheries Research","volume":"281 ","pages":"Article 107177"},"PeriodicalIF":2.2000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fisheries Research","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165783624002418","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FISHERIES","Score":null,"Total":0}

引用次数: 0

Abstract

The need for an ecosystem-based approach to fisheries management is widely recognized. Designing ecosystem models for management purposes requires the identification of key interactions and environmental forcing that drive the dynamics of fish stocks. This can be a very challenging task given the complexity of interactions, which determine the evolution of marine ecosystems. To overcome this difficulty, this study proposes a statistical approach based on multivariate time series analysis to identify the main biotic and abiotic interactions using as a case study of a complex and exploited marine ecosystem, the Gulf of Lions (GOL) in the Mediterranean Sea. To do so, first, pairwise Granger causality tests were performed to detect and select the strongest interactions and drivers, then followed by Multivariate Auto-Regressive (MAR) modelling techniques to evaluate the relevance of the selected causal relationships in a multivariate system. The results led to the identification of three statistical interaction networks (SINs) of moderated complexity. The first showed statistical interactions between blackbellied angler (Lophius budegassa), hake (Merluccius merluccius), grey gurnard (Eutrigla gurnardus), and John dory (Zeus faber), as well as the influence of phosphate concentration. The second focused on blackbellied angler, red mullet (Mullus barbatus), anchovy (Engraulis encrasicolus), under the combined influence of demersal trawlers, Sea Surface Temperature (SST) and nitrate concentration. Horned octopus (Eledone cirrhosa), capelan (Trisopterus capelanus), and sardine (Sardina pilchardus) were also investigated under the influence of nitrate concentration. These SINs can serve as a basis to build models of intermediate complexities to describe the dynamics of the main fish stocks of the GOL.

查看原文本刊更多论文

利用多变量时间序列分析确定海洋群落中的统计交互网络：狮子湾的应用

以生态系统为基础的渔业管理方法的必要性已得到广泛认可。为管理目的设计生态系统模型需要确定驱动鱼类种群动态的关键相互作用和环境作用力。鉴于决定海洋生态系统演变的相互作用的复杂性，这可能是一项极具挑战性的任务。为了克服这一困难，本研究提出了一种基于多变量时间序列分析的统计方法，以地中海狮子湾（GOL）这一复杂且受开发利用的海洋生态系统为例，确定主要的生物和非生物相互作用。为此，首先进行了成对格兰杰因果检验，以检测和选择最强的相互作用和驱动因素，然后采用多元自回归（MAR）建模技术，以评估所选因果关系在多元系统中的相关性。结果确定了三个复杂程度适中的统计互动网络（SIN）。第一个显示了黑腹鮟鱇（Lophius budegassa）、无须鳕（Merluccius merluccius）、灰鳕（Eutrigla gurnardus）和约翰海鲂（Zeus faber）之间的统计交互作用，以及磷酸盐浓度的影响。第二个研究重点是底栖拖网渔船、海面温度（SST）和硝酸盐浓度共同影响下的黑腹鮟鱇、红鲻（Mullus barbatus）和凤尾鱼（Engraulis encrasicolus）。此外，还研究了硝酸盐浓度对角章鱼（Eledone cirrhosa）、毛鳞鱼（Trisopterus capelanus）和沙丁鱼（Sardina pilchardus）的影响。这些 SIN 可作为建立中等复杂程度模型的基础，以描述全球海洋观测系统主要鱼类种群的动态。

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

Fisheries Research 农林科学-渔业

CiteScore

4.50

自引率

16.70%

发文量

294

审稿时长

15 weeks

期刊介绍： This journal provides an international forum for the publication of papers in the areas of fisheries science, fishing technology, fisheries management and relevant socio-economics. The scope covers fisheries in salt, brackish and freshwater systems, and all aspects of associated ecology, environmental aspects of fisheries, and economics. Both theoretical and practical papers are acceptable, including laboratory and field experimental studies relevant to fisheries. Papers on the conservation of exploitable living resources are welcome. Review and Viewpoint articles are also published. As the specified areas inevitably impinge on and interrelate with each other, the approach of the journal is multidisciplinary, and authors are encouraged to emphasise the relevance of their own work to that of other disciplines. The journal is intended for fisheries scientists, biological oceanographers, gear technologists, economists, managers, administrators, policy makers and legislators.