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Non-additive and non-stationary properties in the spatial distribution of a large marine fish population

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https://ir.library.oregonstate.edu/concern/articles/b8515t63n

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Abstract
  • 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 only affected positively by water temperature. These results reveal the spatial signature of intraspecific abundance distribution relationships and the nonadditive and nonstationary 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.
  • KEYWORDS: Density-dependent habitat selection, Bering Sea, Spatial dynamics, Abundance–distribution
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  • Ciannelli, L., Bartolino, V., & Chan, K. (2012). Non-additive and non-stationary properties in the spatial distribution of a large marine fish population. Proceedings. Biological Sciences / the Royal Society, 279(1743), 3635-3642. doi: 10.1098/rspb.2012.0849
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  • 279
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  • 1743
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  • We are grateful for support from the North Pacific Research Board the US National Science Foundation (NSF CMG-0934961) and NOAA-NSF through the CAMEO program.This article is NPRB publication number 351, and BEST-BSIERP Bering Sea Project publication number 63.
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