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February 5, 2026PLoS ONE0 citationsOpen Access

Spatial overlap of sea ice-associated predators and prey in western Hudson Bay

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CRChloé Warret RodriguesADAndrew E. DerocherJRJames D. Roth

Key Points

  • The study aims to understand the spatial distribution of ice-associated predators and prey in western Hudson Bay.
  • Computed hotspots using Getis-Ord (Gi*) analysis based on four years of observations.
  • Identified spatial clustering of polar bears, Arctic foxes, ringed seals, and bearded seals.
  • Mapped bear-hunting signs to assess predator-prey and intraguild relationships.
  • 30% − 49% spatial overlap of polar bear hotspots with those of other species.
  • 80% of Arctic fox hotspots included in polar bear hotspots.
  • Low overlap (18%) between bearded seals and ringed seals, indicating different habitat preferences.

Abstract

Spatio-temporal distribution of species shapes community structure and ecosystem function, yet the mechanisms driving biological hotspots remain unclear in dynamic environments like sea ice. We computed Getis-Ord (Gi*) distribution hotspots based on four years of direct and indirect observations of polar bears ( Ursus maritimus ), Arctic foxes ( Vulpes lagopus ), ringed seals ( Pusa hispida ), and bearded seals ( Erignathus barbatus ) in western Hudson Bay, to identify spatial clustering and assess spatial relationships among these ice-associated species. We further mapped distribution hotspots of bear-hunting sign to examine predator-prey and intraguild relationships. Polar bears and bearded seals primarily used offshore areas, while Arctic foxes concentrated their activity on nearshore ice. Ringed seals built lairs throughout the study area but they mostly hauled out on landfast ice. The polar bear hotspot overlapped largely (30% − 49%) with those of the three other species. Particularly, 80% of the Arctic fox hotspot was included in the polar bear hotspot. In contrast, bearded seals and ringed seals had low overlap (18%), reflecting their different habitat preferences. Understanding current patterns in ice-associated species’ distributions and relationships is crucial to inform conservation actions and for predicting direct and indirect effects of Arctic warming. Our results help identify key ecological areas on sea ice and demonstrate how systematic collection of opportunistic observations can be combined to generate valuable ecological insights at low cost.

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Cite This Study

Rodrigues et al. (2026) studied this question.

synapsesocial.com/papers/698434ebf1d9ada3c1fb3b02https://doi.org/10.1371/journal.pone.0328953
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