Burgess Leah G, Richards Shane A, Driessen Michael M, Wilkinson Vicky, Amin Rahil J, Carver Scott
School of Natural Sciences, University of Tasmania, Hobart, Tas 7001, Australia.
Department of Natural Resources and Environment Tasmania, Hobart, Tas 7001, Australia.
Transbound Emerg Dis. 2023 Mar 4;2023:2955321. doi: 10.1155/2023/2955321. eCollection 2023.
Landscape epidemiology provides a valuable framework to interpret, predict, and manage spatiotemporal patterns of disease. Yet, owing to the difficulty of detecting pathogen occurrence in free-ranging wildlife, disentangling the factors driving disease dynamics remains a considerable challenge, particularly at fine spatial scales. Here, we investigated the fine-scale landscape epidemiology of sarcoptic mange-a visually apparent disease caused by the mite -in bare-nosed wombats (), by: (1) characterizing the distribution and density of wombats within the landscape and (2) examining the effect of environmental variation on the occurrence and apparent prevalence of mange. Wombats were heterogeneously distributed over 19.4 km of transect space (0.096-1.39 wombats ha) and seven months of time (increasing by a factor of 1.76). Wombat density was negatively associated with distance to vegetation cover, supporting a general propensity for wombats to occur and burrow near vegetation (native and exotic, excluding pasture). The apparent prevalence of mange varied spatially (3.1-37.5%), with the probability of disease greater in wombats with minimal vegetation and low-lying pans in their estimated home range. We observed trends of increased prevalence in areas with more burrows available per wombat and in individuals occurring near vegetation cover (although not within their home range). Wombat density and active burrow density did not influence the prevalence of mange. This research emphasizes the fine scale at which spatiotemporal patterns of disease can manifest and is the first to investigate the influence of host density for any species with indirect transmission of . Collectively, our results suggest that individuals inhabiting less optimal habitat (pasture) may be at greater risk of disease, or that diseased wombats may be competitively excluded from more optimal habitat (vegetated areas). We discuss implications for understanding and managing mange in wombats and cross-applicability to other mange-affected species with environmental transmission.
景观流行病学为解释、预测和管理疾病的时空模式提供了一个有价值的框架。然而,由于在自由放养的野生动物中检测病原体存在的困难,厘清驱动疾病动态的因素仍然是一项巨大的挑战,尤其是在精细的空间尺度上。在这里,我们通过以下方式研究了袋熊疥螨病(一种由螨虫引起的肉眼可见的疾病)的精细尺度景观流行病学:(1)描述景观中袋熊的分布和密度,以及(2)研究环境变化对疥螨病发生和表观患病率的影响。袋熊在19.4公里的样带空间内分布不均(每公顷0.096 - 1.39只袋熊),时间跨度为七个月(增加了1.76倍)。袋熊密度与到植被覆盖的距离呈负相关,这支持了袋熊一般倾向于在植被(本地和外来植被,不包括牧场)附近出现和挖掘洞穴的习性。疥螨病的表观患病率在空间上有所不同(3.1 - 37.5%),在估计的家域内植被最少且有低洼平地的袋熊中患病概率更高。我们观察到,每只袋熊可利用洞穴更多的区域以及靠近植被覆盖处(尽管不在其家域内)的个体中,患病率有上升趋势。袋熊密度和活跃洞穴密度并未影响疥螨病的患病率。这项研究强调了疾病时空模式可能显现的精细尺度,并且是首次针对任何具有间接传播的物种研究宿主密度的影响。总体而言,我们的结果表明,栖息在不太适宜栖息地(牧场)的个体可能患病风险更高,或者患病的袋熊可能在竞争中被排除在更适宜的栖息地(植被覆盖区域)之外。我们讨论了这些结果对于理解和管理袋熊疥螨病的意义,以及对其他受疥螨病影响且通过环境传播的物种的交叉适用性。