Noonan Michael J, Markham Andrew, Newman Chris, Trigoni Niki, Buesching Christina D, Ellwood Stephen A, Macdonald David W
Wildlife Conservation Research Unit, Department of Zoology, University of Oxford, The Recanati-Kaplan Centre, Tubney House, Tubney, Oxfordshire, United Kingdom.
Department of Computer Science, University of Oxford, Wolfson Building, Oxfordshire, United Kingdom.
PLoS One. 2014 Jan 17;9(1):e83156. doi: 10.1371/journal.pone.0083156. eCollection 2014.
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 SOLARRH interaction, RAIN, and 30cmTEMP (w = 0.557), while in 2012, a wetter year, the most supported model included the SOLARRH 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.
我们利用三轴加速度计,确定了欧洲獾(Meles meles)秋季夜间活动的个体内和年际变化与精细尺度气候变量之间的关系。这进一步有助于理解该物种天气条件与种群动态之间既定相互作用中的因果关系。建模发现,在研究的两年中,日照、降雨/湿度和土壤温度的测量值是对活动最有支持作用的预测因子。在较干燥的2010年,最受支持的模型包括太阳辐射相对湿度相互作用、降雨和30厘米深处土壤温度(权重=0.557),而在较湿润的2012年,最受支持的模型包括太阳辐射相对湿度相互作用以及降雨*10厘米深处土壤温度(权重=0.999)。个体之间的活动也存在显著差异。在2012年秋季研究期间,夜间活动时间最长的獾在再次捕获时表现出更高的身体状况指数(BCI)。相比之下,在2010年较干燥的条件下,身体状况良好的獾夜间活动较少,而身体状况较差的獾最为活跃。在相同日历日期进行比较以控制夜间长度时,2010年平均獾夜间活动持续时间(9.5小时±3.3标准误)比2012年(8.3小时±1.9标准误)更长。在较湿润的年份,夜间活动增加与能量净增益(来自身体状况指数)相关,这可能是由于觅食条件更好。在较干燥的年份,由于能量回报有更大的净负增长潜力,个体营养状态在改变活动模式方面至关重要;因此我们强调不应将“一刀切”的方法应用于生态响应。