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A case for considering individual variation in diel activity patterns.

Anne G Hertel1, Jon E Swenson1,2, Richard Bischof1

  • 1Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, NO-1430 Ås, Norway.

Behavioral Ecology : Official Journal of the International Society for Behavioral Ecology
|April 7, 2018
PubMed
Summary
This summary is machine-generated.

Individual brown bears exhibit distinct daily activity patterns, influenced by age, habitat, and human presence. Understanding this variation is key to comprehending population dynamics and niche partitioning.

Keywords:
Ursus arctoscircadian activityhunting riskindividual tactickernel density estimatorrepeatability

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Area of Science:

  • Ecology
  • Animal Behavior
  • Conservation Biology

Background:

  • Intraspecific variation in diel activity patterns is crucial for understanding population-level behaviors.
  • Individual differences in daily activity rhythms are often overlooked in ecological studies.
  • Temporal activity patterns significantly influence ecological processes and community dynamics.

Purpose of the Study:

  • To investigate individual variation in diel activity patterns of Scandinavian brown bears.
  • To identify distinct activity tactics and their environmental drivers.
  • To assess the repeatability of these activity tactics within individuals.

Main Methods:

  • Utilized GPS-collared brown bear data (n=98) to analyze diel activity.
  • Extracted 7 activity measures focusing on timing and regularity.
  • Employed multivariate analysis and generalized linear regression to identify tactics and determinants.

Main Results:

  • Identified 4 distinct activity tactics with high individual consistency.
  • Found that age, foraging habitat availability, and human disturbance (bear/road density) shape activity tactics.
  • Younger bears and those in higher-density areas showed more nocturnal behavior.

Conclusions:

  • Individual variation in brown bear activity patterns is significant and deserves further research.
  • These variations can influence individual fitness and contribute to niche partitioning within populations.
  • Recognizing individual activity differences is vital for effective wildlife management and conservation.