Sinopah Wildlife Research Associates, Missoula, Montana, United States of America.
PLoS One. 2013;8(2):e55967. doi: 10.1371/journal.pone.0055967. Epub 2013 Feb 14.
We examined fecal glucocorticoid (fGC) measures of nutrition and thermoregulatory demands on wild bears in Glacier National Park, Montana, and assessed how these measures changed in samples left in the field. Both ambient temperature and exposure can impact thermoregulation and sample degradation. Bear diets vary markedly with season, affecting body condition and thus fGC. We collected fecal samples during September and October, 2001, when ambient temperatures ranged from 30°C to -5°C. We collected half of each sample immediately and left the other half in its original location for 1-28 days. We used generalized linear models (GLM) to first predict fGC concentrations in fresh samples based on proxies of nutrition, ambient temperature, thermal exposure, and precipitation. These same covariates were then used to predict degradation-based differences in fGC concentrations between the paired sample halves. Variation in fGC was predicted by diet, Julian date, aspect, and the interaction between Julian date and aspect in both fresh and exposed samples. Cumulative precipitation was also a significant predictor of fGC concentrations in the exposed samples, independent of time, indicating that precipitation contributes to sample degradation but not enough to mask effects of other environmental factors on fGC concentrations. Differences between sample halves were only predicted by cumulative precipitation and exposure time; cumulative precipitation decreased, whereas exposure time increased, fGC concentrations in the exposed sample halves. Results indicate that fGC can provide reliable indices of nutrition and thermoregulatory demands in bears and that sample degradation impacts on these relations are minimal and can be virtually eliminated by controlling for cumulative precipitation over the estimated exposure times.
我们检测了蒙大拿州冰川国家公园中野生熊的粪便皮质醇(fGC)水平,以评估营养和体温调节需求,并评估这些措施在野外样本中的变化。环境温度和暴露都会影响体温调节和样本降解。熊的饮食随季节变化显著,影响身体状况和 fGC。我们在 2001 年 9 月和 10 月采集粪便样本,环境温度范围为 30°C 至-5°C。我们立即采集每个样本的一半,并将另一半留在原始位置 1-28 天。我们使用广义线性模型(GLM)根据营养、环境温度、热暴露和降水的代理变量来预测新鲜样本中的 fGC 浓度。然后,我们使用相同的协变量来预测配对样本之间 fGC 浓度因降解而产生的差异。新鲜和暴露样本中,fGC 的变化均由饮食、日序、方位以及日序和方位之间的相互作用预测。累积降水量也是暴露样本中 fGC 浓度的重要预测因子,与时间无关,表明降水会导致样本降解,但不足以掩盖其他环境因素对 fGC 浓度的影响。样本两半之间的差异仅由累积降水量和暴露时间预测;暴露样本中 fGC 浓度随累积降水量减少和暴露时间增加而降低。结果表明,fGC 可以提供熊营养和体温调节需求的可靠指标,并且样本降解对这些关系的影响最小,可以通过控制估计的暴露时间内的累积降水量来消除。