Non-additive and non-stationary properties in the spatial distribution of a large marine fish population.
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.
College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331, USA. lciannel@coas.oregonstate.edu
Lorenzo
L
Ciannelli
Valerio
V
Bartolino
Kung-Sik
KS
Chan
D000413:Alaska; D000818:Animals; D003710:Demography; D004777:Environment; D005432:Flounder / Q000502:physiology*; D008954:Models, Biological; D011157:Population Dynamics; D012044:Regression Analysis; D013696:Temperature