Climate and the individual: inter-annual variation in the autumnal activity of the European badger (Meles meles)

PLoS One. 2014 Jan 17;9(1):e83156. doi: 10.1371/journal.pone.0083156. eCollection 2014.

Abstract

We establish intra-individual and inter-annual variability in European badger (Meles meles) autumnal nightly activity in relation to fine-scale climatic variables, using tri-axial accelerometry. This contributes further to understanding of causality in the established interaction between weather conditions and population dynamics in this species. Modelling found that measures of daylight, rain/humidity, and soil temperature were the most supported predictors of ACTIVITY, in both years studied. In 2010, the drier year, the most supported model included the SOLAR*RH interaction, RAIN, and 30cmTEMP (w = 0.557), while in 2012, a wetter year, the most supported model included the SOLAR*RH interaction, and the RAIN*10cmTEMP (w = 0.999). ACTIVITY also differed significantly between individuals. In the 2012 autumn study period, badgers with the longest per noctem activity subsequently exhibited higher Body Condition Indices (BCI) when recaptured. In contrast, under drier 2010 conditions, badgers in good BCI engaged in less per noctem activity, while badgers with poor BCI were the most active. When compared on the same calendar dates, to control for night length, duration of mean badger nightly activity was longer (9.5 hrs ±3.3 SE) in 2010 than in 2012 (8.3 hrs ±1.9 SE). In the wetter year, increasing nightly activity was associated with net-positive energetic gains (from BCI), likely due to better foraging conditions. In a drier year, with greater potential for net-negative energy returns, individual nutritional state proved crucial in modifying activity regimes; thus we emphasise how a 'one size fits all' approach should not be applied to ecological responses.

MeSH terms

  • Animal Nutritional Physiological Phenomena
  • Animals
  • Europe
  • Humidity
  • Mustelidae / physiology*
  • Seasons*
  • Temperature

Grants and funding

The Peoples Trust for Endangered Species generously supported much of this core study. MJN is supported by the Rhodes Trust and an NSERC postgraduate scholarship. ACM is supported by an EPSRC C-DIP postdoctoral fellowship (EPSRC Undertracker: Underground Animal Tracking and Mapping in 3D EP/I026959/1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.