Fish distribution shifts due to climate change in the Northeast Atlantic: Using a hierarchical filtering approach on marine-estuarine opportunist species

Marine-estuarine opportunist (MEO) species are fish that occur in the continental shelf and use estuaries and/or shallow coastal areas as nurseries. These commercially important resources are facing significant environmental modifications caused by direct and/or indirect anthropogenic climate change effects. In this study, we investigated the directionality and the magnitude of the distribution shifts (i.e., range size, gravity centroids, and margins) in marine environment suitability for six main MEO fish species within the Northeast Atlantic expected for the end of the 21st century. In the framework of this study, we have distinguished ‘sub-boreal’ from ‘sub-tropical’ species. The ‘hierarchical filters’ concept was adopted for modelling the potential species distributions and combined the predictions of i) a bioclimatic model with ii) a habitat model. The bioclimatic model is based on large-scale and time-variant variables while variables of the habitat model are fine-grained and time-invariant. Two Intergovernmental Panel on Climate Change (IPCC) scenarios are tested: an intermediate (SSP2-4.5) and a pessimistic one (SSP5-8.5). We applied this framework using international databases of biodiversity occurrences, ensemble forecasting producing consensual predictions, and innovative indices of distribution shifts. A visible north-westward shift was predicted for all six species in our study area. However, the northward expansion was greater for ‘sub-tropical’ than for ‘sub-boreal’ species due to faster gravity centroid displacement shifts and faster margins shifts. These range shifts may lead to major ecological impacts (e.g., changes in recruitment to estuarine and coastal nurseries, as well as changes in spawning grounds) that may alter populations' connectivity. • Marine-estuarine opportunist (MEO) fish species such as sole and seabass are highly valued. • The marine environment suitability was modelled by using ‘hierarchical filters’. • Ensemble forecasting of a bioclimatic model and a habitat model were combined. • A north-westward shift of suitable environment was expected for the 21st century end. • This shift was greater for ‘sub-tropical’ than for ‘sub-boreal’ MEO fish species.

Authors

Institutions

Publication Details

Journal
Estuarine Coastal and Shelf Science
Published
2024-10-31
DOI
https://doi.org/10.1016/j.ecss.2024.109013
Citations
1
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
0.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fish distribution shifts due to climate change in the Northeast Atlantic: Using a hierarchical filtering approach on marine-estuarine opportunist species

Henrique N. Cabral, Mario Lepage, Trond Kristiansen, Jérémy Lobry et al.
1 citations
Estuarine Coastal and Shelf Science
Marine and fisheries research
0.28
article

Fish distribution shifts due to climate change in the Northeast Atlantic: Using a hierarchical filtering approach on marine-estuarine opportunist species

Henrique N. Cabral, Mario Lepage, Trond Kristiansen, Jérémy Lobry, Patrick Lambert, Momme Butenschön, Anaïs Janc, Chloé Dambrine, Géraldine Lassalle, Maud Pierre
article en
1 citations

Abstract

Marine-estuarine opportunist (MEO) species are fish that occur in the continental shelf and use estuaries and/or shallow coastal areas as nurseries. These commercially important resources are facing significant environmental modifications caused by direct and/or indirect anthropogenic climate change effects. In this study, we investigated the directionality and the magnitude of the distribution shifts (i.e., range size, gravity centroids, and margins) in marine environment suitability for six main MEO fish species within the Northeast Atlantic expected for the end of the 21st century. In the framework of this study, we have distinguished ‘sub-boreal’ from ‘sub-tropical’ species. The ‘hierarchical filters’ concept was adopted for modelling the potential species distributions and combined the predictions of i) a bioclimatic model with ii) a habitat model. The bioclimatic model is based on large-scale and time-variant variables while variables of the habitat model are fine-grained and time-invariant. Two Intergovernmental Panel on Climate Change (IPCC) scenarios are tested: an intermediate (SSP2-4.5) and a pessimistic one (SSP5-8.5). We applied this framework using international databases of biodiversity occurrences, ensemble forecasting producing consensual predictions, and innovative indices of distribution shifts. A visible north-westward shift was predicted for all six species in our study area. However, the northward expansion was greater for ‘sub-tropical’ than for ‘sub-boreal’ species due to faster gravity centroid displacement shifts and faster margins shifts. These range shifts may lead to major ecological impacts (e.g., changes in recruitment to estuarine and coastal nurseries, as well as changes in spawning grounds) that may alter populations' connectivity. • Marine-estuarine opportunist (MEO) fish species such as sole and seabass are highly valued. • The marine environment suitability was modelled by using ‘hierarchical filters’. • Ensemble forecasting of a bioclimatic model and a habitat model were combined. • A north-westward shift of suitable environment was expected for the 21st century end. • This shift was greater for ‘sub-tropical’ than for ‘sub-boreal’ MEO fish species.

Estuarine Coastal and Shelf ScienceVol. 310
CEA CESTA (FR), Norwegian Institute for Water Research (NO), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Farallon Institute (US), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT)
Life below water
Openalex Percentile: Top 47%
Marine and fisheries research
0.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.