Global patterns and environmental drivers of suitable habitat for Dentex dentex and Sciaena umbra along the Corsican coast

Author:

Garcia J12ORCID,Pasqualini V12,Vanalderweireldt L1ORCID,Bisgambiglia P A1,Marengo M3,Lejeune P3,Aiello A2,Durieux E D H12

Affiliation:

1. Université de Corse Pasquale Paoli , UMR CNRS 6134 Sciences Pour l’Environnement, 20250 Corte , France

2. Université de Corse Pasquale Paoli , UMS CNRS 3514 Plateforme Marine Stella Mare, 20620 Biguglia , France

3. Station de Recherches sous-marines et Océanographiques (STARESO) , Pointe de la Revellata, BP33, 20260 Calvi , France

Abstract

Abstract Improving the effectiveness of marine spatial management is crucial to preserve marine ecosystems and also to support the fisheries economy. In this study, we aimed to determine the spatial distribution and suitable habitats (spawning and nursery sites) of Sciaena umbra and Dentex dentex using catches data in Corsica Island. Random forest models have been used as they are highly accurate and are suited to predict rare species distribution. Predictive maps of spatial distribution based on presence/absence data showed a high degree of spatial variability between species. Suitable habitats were close to shore in shallow waters for S. umbra and deeper and further offshore for D. dentex. We also observed that spawning sites were mainly located on the west coast, while nursery areas were distributed all around the island for D. dentex. In addition, we demonstrated the important contribution of environmental factors and local habitats (depth and Posidonia oceanica meadows) in the selection of their suitable habitats. Our results provide new knowledge for understanding ecological processes such as the selection of suitable habitats by fish species. Based on this information, spatial mapping can be implemented to improve the effectiveness of resource management over the long term.

Funder

Agence de l'Eau Rhône Méditerranée Corse

CNRS

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3