ArticleScientific data2024
FISHGLOB_data: an integrated dataset of fish biodiversity sampled with scientific bottom-trawl surveys.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Shifts and expansion in a spatially structured fish stock spanning international borders in the Northwest Atlantic.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Long-term warming reduces fish biomass, but heatwaves shift it.Nature ecology & evolution · 2026Article
- Range-edge effects of marine heatwaves.Nature ecology & evolution · 2026Article
- Zero-shot deep learning for the annotation of unknown eDNA sequences using co-occurrences and phylogenetic embeddings.PLoS computational biology · 2025Article
- Identifying fish populations prone to abrupt shifts via dynamical footprint analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- The Metapopulation Bridge to Macroevolutionary Speciation Rates: A Conceptual Framework and Empirical Test.Ecology letters · 2025Article
- Future trends of marine fish biomass distributions from the North Sea to the Barents Sea.Nature communications · 2024Article
- Article
- Over 20% of marine fishes shifting in the North and Barents Seas, but not in the Norwegian Sea.PeerJ · 2023Article
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Authors and funding
14 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Scientific bottom-trawl surveys are ecological observation programs conducted along continental shelves and slopes of seas and oceans that sample marine communities associated with the seafloor. These surveys report taxa occurrence, abundance and/or weight in space and time, and contribute to fisheries management as well as population and biodiversity research. Bottom-trawl surveys are conducted all over the world and represent a unique opportunity to understand ocean biogeography, macroecology, and global change. However, combining these data together for cross-ecosystem analyses remains challenging. Here, we present an integrated dataset of 29 publicly available bottom-trawl surveys conducted in national waters of 18 countries that are standardized and pre-processed, covering a total of 2,170 sampled fish taxa and 216,548 hauls collected from 1963 to 2021. We describe the processing steps to create the dataset, flags, and standardization methods that we developed to assist users in conducting spatio-temporal analyses with stable regional survey footprints. The aim of this dataset is to support research, marine conservation, and management in the context of global change.
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