Evaluating the population status of elusive and rare species is a challenge for wildlife managers and conservationists. A promising method that has been used is faecal pellet counting applied to the faecal standing crop (FSC) method. The FSC method estimates population density based on faecal pellets counted in a given area by using parameters such as defecation rate and faecal persistence, which vary according to the environment. The search for faeces has become more effective with the help of scat detection dogs, which have a better detection rate compared to humans. Therefore, we aimed to incorporate the sampling effectiveness of scat detection dogs as parameters in FSC methods. For this purpose, two experiments were conducted to evaluate the detectability of Mazama faeces related to their distance from a search transect and their age (time since deposition). Our results show that incorporating scat detection dog parameters can result in density estimates three times higher than those reached without incorporating the detection dog parameters in FSC methods.

中文翻译：

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在粪便站立作物法中纳入检测犬的采样效果

评价野生和稀有物种的种群状况是野生动植物管理者和保护主义者的挑战。已使用的一种有前途的方法是将粪便颗粒计数应用于粪便立式农作物（FSC）方法。FSC方法通过使用排便率和粪便持久性等参数（根据环境而定），根据给定区域中计数的粪便颗粒估算种群密度。在粪便检测犬的帮助下，粪便的搜寻变得更加有效，与人类相比，粪便检测犬的检测率更高。因此，我们旨在将粪便检测犬的采样效果作为FSC方法的参数。为此，进行了两个实验以评估Mazama的可检测性粪便与它们与搜索样带的距离以及年龄（沉积后的时间）有关。我们的结果表明，与在FSC方法中不包含检测犬参数的情况相比，合并scat检测犬参数可导致密度估计值高出三倍。