ArticleMovement ecology2022
Time-dependent memory and individual variation in Arctic brown bears (Ursus arctos).
Article in Movement ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 16 citations in OpenAlex.
- Article
- Identifying signals of memory from observations of animal movements.Movement ecology · 2024Review
- Simultaneous estimation of the temporal and spatial extent of animal migration using step lengths and turning angles.Movement ecology · 2024Article
- Aversive conditioning increases short-term wariness but does not change habitat use in black bears associated with conflict.PloS one · 2024Article
- Reinforced diffusions as models of memory-mediated animal movement.Journal of the Royal Society, Interface · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnimal movement modelling provides unique insight about how animals perceive their landscape and how this perception may influence space use. When coupled with data describing an animal's environment, ecologists can fit statistical models to location data to describe how spatial memory informs movement.
methodsWe performed such an analysis on a population of brown bears (Ursus arctos) in the Canadian Arctic using a model incorporating time-dependent spatial memory patterns. Brown bear populations in the Arctic lie on the periphery of the species' range, and as a result endure harsh environmental conditions. In this kind of environment, effective use of memory to inform movement strategies could spell the difference between survival and mortality.
resultsThe model we fit tests four alternate hypotheses (some incorporating memory; some not) against each other, and we found a high degree of individual variation in how brown bears used memory. We found that 71% (15 of 21) of the bears used complex, time-dependent spatial memory to inform their movement decisions.
conclusionsThese results, coupled with existing knowledge on individual variation in the population, highlight the diversity of foraging strategies for Arctic brown bears while also displaying the inference that can be drawn from this innovative movement model.
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