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Assessing effects of genetic, environmental, and biotic gradients in species distribution modelling
Lowen, J.B.; Hart, D.R.; Stanley, R.R.E.; Lehnert, S.J.; Bradbury, I.R.; DiBacco, C. (2019). Assessing effects of genetic, environmental, and biotic gradients in species distribution modelling. ICES J. Mar. Sci./J. Cons. int. Explor. Mer 76(6): 1762-1775. https://dx.doi.org/10.1093/icesjms/fsz049
In: ICES Journal of Marine Science. Academic Press: London. ISSN 1054-3139; e-ISSN 1095-9289
Peer reviewed article  
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  • Lowen, J.B.
  • Hart, D.R.
  • Stanley, R.R.E.
  • Lehnert, S.J.
  • Bradbury, I.R.
  • DiBacco, C.
Abstract
    To develop more reliable marine species distribution models (SDMs), we examine how genetic, climatic, and biotic interaction gradients give rise to prediction error in marine SDM. Genetic lineages with distinct ecological requirements spanning genetic gradients have yet to be treated separately in marine SDM, which are often constrained to modeling the potential distribution of one biological unit (e.g. lineage or species) at a time. By comparing SDM performance for the whole species or where observation and predictions were partitioned among geographically discontinuous genetic lineages, we first identified the appropriate biological unit for modeling sea scallop. Prediction errors, in particular contiguous omissions at the northern range margins were effectively halved in genetic lineage SDM (Total error=15%) verses whole species SDM. Remaining SDM prediction error was strongly associated with: i) Sharp climatic gradients (abrupt and persistent spatial shifts in limiting temperatures) found within continental shelf breaks and bottom channels. ii) A biotic gradient in the predation of sea scallop juveniles by the sand star within the Hudson Shelf USA. Our findings highlight how the accuracy of marine SDM is dependent on capturing the appropriate biological unit for modeling (e.g. lineages rather than species) and adequately resolving limiting abiotic and biotic interaction gradients.
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