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Fish biodiversity under global change – a worldwide assessment from scientific trawl surveys

FISHGLOB © Deng Palomares. School of jacks (Caranx sexfasciatus), Verde Island Passage, 2008

Global change is causing redistribution of marine species worldwide, modifying taxonomic and trait community compositions. These changes may have strong impacts on natural fish biodiversity and related ecosystem services.


However, our capacity to assess and monitor short and long-term changes in species distribution and biodiversity is hampered by the availability and heterogeneity of data.


The project aims at (i) collecting and combining unique data sets of more than 70 scientific trawl surveys across the globe (metadata and species abundance from more than 220,000 haul samples) and species traits of marine fishes, as well as assessing changes in (ii) species life-history strategy composition and (iii) community diversity of fish, across time at complementary spatial scales (local to global), across tropical, temperate and boreal ecosystems.


This project will provide a framework for identifying and predicting biodiversity responses to global changes. In addition, it will permit the identification of areas of concern, and suggesting measures that might contribute, for example, to mitigate fisheries-related responses to global change.



FISHGLOB project members in a virtual meeting in November 2021



Bastien MERIGOT – Université de Montpellier, UMR MARBEC (France) ;

Maria Lourdes D. PALOMARES – University of British Columbia, Sea around us (Canada)

ouvrir/fermer Participants:

Arnaud AUBERT – Ifremer (France), William CHEUNG – Institute for the Oceans and Fisheries, UBC (Canada), Didier GASCUEL – Rennes University (France), Aurore MAUREAUD – Centre for Ocean Life, National Institute for Aquatic Resources, Technical University of Denmark (Danemark), Laurène PECUCHET – Arctic  University of Tromsø (Norway), Nancy SHACKELL – Bedford Institute of Oceanography (Canada)

FISHGLOB brings together specialists in community ecology, scientific hawling sampling, data management, statistics, modelling, and politics.


In partnership with the synthesis center