Environment and Sustainability Institute, University of Exeter, Penryn, TR10 9FE, Cornwall, United Kingdom.
UK Centre for Ecology and Hydrology, Wallingford, Oxfordshire, OX10 8BB, United Kingdom.
Ecol Appl. 2021 Jul;31(5):e02328. doi: 10.1002/eap.2328. Epub 2021 May 9.
Variation in the spatial ecology of animals influences the transmission of infections and so understanding host behavior can improve the control of diseases. Despite the global distribution of free-ranging domestic dogs Canis familiaris and their role as reservoirs for zoonotic diseases, little is known about the dynamics of their space use. We deployed GPS loggers on owned but free-ranging dogs from six villages in rural Chad, and tracked the movements of 174 individuals in the dry season and 151 in the wet season. We calculated 95% and core home ranges using auto-correlated kernel density estimates (AKDE and AKDE ), determined the degree to which their movements were predictable, and identified correlates of movement patterns. The median AKDE range in the dry season was 0.54 km and in the wet season was 0.31 km , while the median AKDE range in the dry season was 0.08 km and in the wet season was 0.04 km . Seasonal variation was, in part, related to owner activities; dogs from hunting households had ranges that were five times larger in the dry season. At least 70% of individuals were more predictably "at home" (<50 m from the household) throughout the day in the dry season, 80% of dogs demonstrated periodicity in activity levels (speed), and just over half the dogs exhibited periodicity in location (repeated space use). In the wet season, dogs mostly exhibited 24-h cycles in activity and location, with peaks at midday. In the dry season, dogs exhibited both 12- and 24-h cycles, with either a single peak at midday, or one peak between 06:00 and 12:00 and a second between 18:00 and 22:00. Strategies to control canine-mediated zoonoses can be improved by tailoring operations to the local spatial ecology of free-ranging dogs. Interventions using a door-to-door strategy in rural Chad would best conduct operations during the dry season, when access to dogs around their household more reliably exceeds 70% throughout the day. Given the importance of use in hunting for explaining variation in dog space-use, targeting approaches to disease control at the household level on the basis of owner activities offers potential to improve access to dogs.
动物的空间生态变化会影响传染病的传播,因此了解宿主的行为可以改善疾病的控制。尽管自由放养的家犬(Canis familiaris)在全球范围内分布,并作为人畜共患病的宿主,但它们的空间利用动态却知之甚少。我们在乍得农村的六个村庄中,给拥有但自由放养的狗佩戴 GPS 追踪器,在旱季追踪了 174 只个体的活动,在雨季追踪了 151 只个体。我们使用自相关核密度估计值(AKDE 和 AKDE )计算了 95%和核心家域,确定了它们的运动可预测程度,并确定了运动模式的相关因素。旱季的 AKDE 中位数范围为 0.54km,雨季为 0.31km ,而旱季的 AKDE 中位数范围为 0.08km,雨季为 0.04km 。季节性变化部分与主人的活动有关;狩猎家庭的狗在旱季的范围要大五倍。在旱季,至少有 70%的个体整天都在离家不到 50 米的地方更可预测地“待在家里”。80%的狗表现出活动水平(速度)的周期性,超过一半的狗表现出位置(重复使用空间)的周期性。在雨季,狗的活动和位置大多表现出 24 小时的周期,中午达到峰值。在旱季,狗表现出 12 小时和 24 小时的周期,要么在中午达到峰值,要么在 06:00 到 12:00 之间达到一个峰值,在 18:00 到 22:00 之间达到第二个峰值。通过使操作适应自由放养犬的当地空间生态,可以改进控制犬介导的人畜共患病的策略。在乍得农村,采用逐户策略的干预措施在旱季进行操作效果最佳,因为在旱季,狗在其家庭周围的活动在白天有超过 70%的时间可靠地进行。鉴于在狩猎中的使用对解释狗空间利用变化的重要性,根据主人的活动,将针对疾病控制的方法以家庭为单位进行靶向,为改善对狗的接触提供了潜力。