Life history traits and abundance of Northeast Atlantic fish

• Main Author: Rindorf, Anna
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2020
• Subjects: sensitive fish abundance; fisheries selectivity; Northeast Atlantic
• Online Access: https://doi.org/10.5061/dryad.8sf7m0cjd

Life history characteristics such as asymptotic length L ∞ , growth rate K , the length at which 50% of the individuals have reached maturity L mat , 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 L max 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. 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), K 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: Award Number: