Published May 5, 2020 | Version v1
Dataset Open

Life history traits and abundance of Northeast Atlantic fish

  • 1. Technical University of Denmark

Description

Life history characteristics such as asymptotic length L, growth rate K, the length at which 50% of the individuals have reached maturity Lmat, and natural mortality M are therefore often used to indicate the sensitivity of different species to fishing. When species-specific information is missing, an estimate of the maximum length Lmax of a species can be used to infer asymptotic length, growth rate, natural mortality, and proportion mature at length. Here, we provide a data base containing life history parameters of 271 species along with the references of these values and gear efficiency estimates for all species. Further, we provide average annual catch indices within inhabitated areas for each species. 

 

 

Notes

General relationships between life history parameters and species lengths can be used to provide missing values when information can not be found in the literature.When no growth parameters were available, L  can beestimated from L max using the equation provided by Froese & Binohlan (2000), can be estimated from a regression of ln⁡ ( K )  versus ln⁡ ( L ) based on the species in the dataset for which K and L  estimates are available. L mat  can be estimated by a regression of ln⁡ ( L mat )  versus ln⁡ ( L )   based on species for which estimates are available. For chondrichthyans, regressions of ln⁡ ( L min ) versus ln⁡ ( L ) differ significantly between egg-laying and live-bearing species and hence, separate regressions of ln⁡ ( L min ) versus ln⁡ ( L ) should be used for egg-laying and live-bearing species. Consulter the paper for details on how to use exploitation pattern.

Funding provided by: European Commission
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000780
Award Number: EASME/EMFF/2017/022

Funding provided by: Department of Agriculture, Food and the Marine's Competitive Research Funding Programmes.*
Crossref Funder Registry ID:
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