Bartolino, Valerio
- Department of Aquatic Resources (SLU Aqua), Swedish University of Agricultural Sciences
Research article2012Peer reviewedOpen access
Ciannelli, L; Bartolino, Valerio; Chan, Kung-Sik
Density-independent and density-dependent variables both affect the spatial distributions of species. However, their effects are often separately addressed using different analytical techniques. We apply a spatially explicit regression framework that incorporates localized, interactive and threshold effects of both density-independent (water temperature) and density-dependent (population abundance) variables, to study the spatial distribution of a well-monitored flatfish population in the eastern Bering Sea. Results indicate that when population biomass was beyond a threshold a further increase in biomass-promoted habitat expansion in a non-additive fashion with water temperature. In contrast, during years of low population size, habitat occupancy was affected positively only by water temperature. These results reveal the spatial signature of intraspecific abundance distribution relationships as well as the non-additive and non-stationary responses of species spatial dynamics. Furthermore, these results underscore the importance of implementing analytical techniques that can simultaneously account for density-dependent and density-independent sources of variability when studying geographical distribution patterns.
abundance-distribution; spatial dynamics; density-dependent habitat selection; Bering Sea
Proceedings of the Royal Society B: Biological Sciences
2012, Volume: 279, number: 1743, pages: 3635-3642
Publisher: ROYAL SOC
SDG14 Life below water
Fish and Aquacultural Science
DOI: https://doi.org/10.1098/rspb.2012.0849
https://res.slu.se/id/publ/45153