Individual-based modelling to fine-tune management measures for commercial demersal sharks
Year: 2025
Type: article
Abstract: Individual-Based Models (IBMs) can be used to study population dynamics by emphasising individual variability in life-history traits and behaviour. Here, we built a zero-dimensional IBM to describe the population dynamics of smooth-hound sharks ( Mustelus spp. ) living in the northern Adriatic Sea, a highly exploited basin of the Mediterranean Sea. We integrated the density-dependence of individual-level processes based on bioenergetic theory with the explicit consideration of the intra-specific variability of life cycle processes into the model. The individual-based approach allowed us to investigate population status, highlight and fill knowledge gaps in the biology of the species, and test the potential effectiveness of innovative conservation measures. Although IBMs are a complex and potentially data-intensive methodology, this work demonstrates their usefulness as screening tools to systematically identify and select, within a pool of options, promising fisheries management measures for elasmobranch conservation and sustainable exploitation. • An individual-based model to describe the population dynamics of demersal sharks. • The model combines bioenergetics, life-history traits and post-release survival. • The approach fills knowledge gaps in the biology and ecology of the species. • The model allowed to test and fine-tune a potential management measure.
Source: Ecological Informatics
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
SDG: Life below water
Open Access status: gold
Estimated APC paid: $2,770
Awards: G3796770245, G6347161296
OpenAlex ID: W4409423167
