Modelled and observed fish feeding traits for the North Atlantic and Arctic Oceans (1836-2020) and population estimates of fish with different feeding traits from Northeast Atlantic scientific trawl surveys (1997-2020)

The data we provide here have been assembled to categorise fish into feeding guilds and determine change in populations of fish with different feeding traits relevant to food web status assessment advocated by OSPAR. We provide four datasets: the first is a csv file titled ‘stomach data observations...

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Detalles Bibliográficos
Autores: Thompson, Murray S.A., Preciado, Izaskun, Maioli, Federico, Bartolino, Valerio, Belgrano, Andrea, Casini, Michele, Cresson, Pierre, Eriksen, Elena, Hernández-Milián, Gema, Jónsdóttir, Ingibjörg G., Neuenfeldt, Stefan, Pinnegar, John K., Ragnarsson, Stefan, Schückel, Sabine, Schückel, Ulrike, Smith, Brian E., Torres, María Ángeles, Webb, Thomas J., Lynam, Christopher P.
Tipo de recurso: conjunto de datos
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/397685
Acceso en línea:http://hdl.handle.net/10261/397685
Access Level:acceso abierto
Palabra clave:Biodiversity
Ecosystem
Fish
Fish behaviour
Fish biomass in water bodies
Modelling
Species
Zooplankton
Benthos
Descripción
Sumario:The data we provide here have been assembled to categorise fish into feeding guilds and determine change in populations of fish with different feeding traits relevant to food web status assessment advocated by OSPAR. We provide four datasets: the first is a csv file titled ‘stomach data observations’ contains observations from fish stomach contents of individual prey weight, prey functional group (i.e., zooplankton, benthos, fish, nekton and other), predator taxonomy, predator size, and the region and year the samples were collected (Table 1; see Columnheadersreadme.txt); the second is a csv file titled ‘modelled stomach data’ provides predictions from a linear mixed effects model of individual prey weight based on those stomach contents observations, alongside modelled estimates of prey counts and biomass which enable the full collation of stomach contents information to be used in our feeding guild classification (Table 2; feeding guilds are predatory categories assigned using cluster analysis on stomach content data; see Thompson et al., 2023); the third dataset is a shapefile titled ‘feeding guild responses in survey data’ and provides haul-level estimates of feeding guild species richness, numbers of fish and their biomass based on scientific trawl surveys from the Northeast Atlantic (Tables 3-4); the fourth is a shapefile titled ‘temporal changes in feeding guilds’ which contains correlation coefficients and p values following Kendall’s τ trend analysis between mean haul-level values of feeding guild biomass and species richness for each assessment strata and year. Kendall’s τ scores of –1 to +1 represent a 100% probability of a decreasing or increasing trend, respectively (Table 5). Stomach contents data.