A multispecies, intraspecific functional traits data set on fish species from the Bay of Biscay, France

Type Article
Date 2023-02
Language English
Author(s) Rozanski RomaneORCID1, 2, 3, Eme David2, 4, Boiron-Leroy AnneORCID5, Rufino MartaORCID6, 7, Albouy CamilleORCID1, 2, 3
Affiliation(s) 1 : Ecosystems and Landscape Evolution Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich Zürich ,Switzerland
2 : DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Inst. Agro – Agrocampus Ouest Nantes, France
3 : Unit of Land Change Science Swiss Federal Research Institute WSL Birmensdorf ,Switzerland
4 : RiverLY Research Unit National Research Institute for Agriculture Food and Environment (INRAE) Villeurbanne ,France
5 : PMMLT, IFREMER Station de La Tremblade La Tremblade, France
6 : Division of Modeling and Management of Fisheries Resources, IPMA – Portuguese Institute for the Sea and the Atmosphere, Lisbon, Portugal
7 : CEAUL Centre of Statistics and its Applications of the University of Lisbon, Faculty of Sciences, Portugal
Source Ecology (0012-9658) (Wiley), 2023-02 , Vol. 104 , N. 2 , P. e3924 (2p.)
DOI 10.1002/ecy.3924
WOS© Times Cited 1
Keyword(s) Actinopterygii, Atlantic Ocean, ecomorphological traits, functional diversity, intraspecific traits variability, life history traits
Abstract

The global biodiversity crisis due to anthropogenic pressures jeopardizes marine ecosystems functioning and services. Community responses to these environmental changes can be assessed through functional diversity, a biodiversity component related to organism-environment interactions, estimated through biological traits related to organism functions (locomotion, feeding mode, reproduction). Fishes play a key role in marine systems functioning and supply proteins for billions of humans worldwide, yet most of the knowledge is limited to several commercial species and little is known about the intraspecific variability of their functional traits. The data provided here consists of 867 records of individuals from 85 species of ray-finned (Actinopterygii) and cartilaginous (Chondrichthyes) fishes sampled in the Bay of Biscay (Atlantic, France) between autumn 2017 and 2019. We provided for each individual the taxonomic classification, 16 ecomorphological measures (5 directly made on fresh individuals and 11 realized using individual pictures), that were converted into 9 ecomorphological traits classically documented in the literature (biomass, protrusion, oral gape shape, surface and position, eye size and position, body transversal shape and surface, pectoral fin position and caudal peduncle throttling) and 8 life history traits obtained from Fishbase (maximum length, average depth, depth range, trophic level, reproduction mode, fertilization mode, parental care, vertical position in the water column). These traits document several functions such as dispersion, feeding mode, habitat use, position in the food web, and reproduction. To improve the development of new traits, we provided a picture of each individual with an ROI file containing the different morpho-anatomical measures made using “ImageJ” software and an R function to extract them. In addition, we provided the metadata from each sampling site (years, dates, stations, sampling hours, strata, gears, latitudes, longitudes, depths) and environmental variables measured in situ (conductivity, salinity, water temperature, water density, air temperature). This data set accounting for the intraspecific variability among 85 fish species is of interest to better understand the effects of environmental forcing in a global change context as in the Bay of Biscay, a highly-fished transition zone harboring mixed assemblages of boreal, temperate, and subtropical fish species that are susceptible to display variability in functional trait to adapt to changing conditions. The data set is freely available without copyright restrictions; users should cite this paper in research products (publications, presentations, reports, etc.) derived from the data set.

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