Department of Geography, Geospatial Sciences and Earth Observation, University of Zimbabwe, 630 Churchill Road, Harare, Zimbabwe.
Department of Veterinary Services, 1327 Atherstone Road, Bindura, Zimbabwe.
Parasit Vectors. 2022 Jun 28;15(1):237. doi: 10.1186/s13071-022-05346-z.
Understanding the response of vector habitats to climate change is essential for vector management. Increasingly, there is fear that climate change may cause vectors to be more important for animal husbandry in the future. Therefore, knowledge about the current and future spatial distribution of vectors, including ticks (Ixodida), is progressively becoming more critical to animal disease control.
Our study produced present (2018) and future (2050) bont tick (Amblyomma hebraeum) niche models for Mashonaland Central Province, Zimbabwe. Specifically, our approach used the Ensemble algorithm in Biomod2 package in R 3.4.4 with a suite of physical and anthropogenic covariates against the tick's presence-only location data obtained from cattle dipping facilities.
Our models showed that currently (the year 2018) the bont tick potentially occurs in 17,008 km, which is 60% of Mashonaland Central Province. However, the models showed that in the future (the year 2050), the bont tick will occur in 13,323 km, which is 47% of Mashonaland Central Province. Thus, the models predicted an ~ 13% reduction in the potential habitat, about 3685 km of the study area. Temperature, elevation and rainfall were the most important variables explaining the present and future potential habitat of the bont tick.
Results of our study are essential in informing programmes that seek to control the bont tick in Mashonaland Central Province, Zimbabwe and similar environments.
了解病媒栖息地对气候变化的响应对于病媒管理至关重要。越来越多的人担心,气候变化可能会导致病媒在未来对畜牧业更为重要。因此,了解病媒(包括蜱虫(Ixodida))的当前和未来空间分布,对于动物疾病控制来说变得越来越关键。
我们的研究为津巴布韦马绍纳兰中部省制作了当前(2018 年)和未来(2050 年)的博特 tick(Amblyomma hebraeum)生态位模型。具体来说,我们的方法在 R 3.4.4 中的 Biomod2 包中使用了集合算法,针对 tick 的存在位置数据(从牛只浸泡设施获得),结合了一系列物理和人为因素协变量。
我们的模型表明,当前(2018 年)博特 tick 可能存在于 17008km 的区域,占马绍纳兰中部省的 60%。然而,模型显示,在未来(2050 年),博特 tick 将存在于 13323km 的区域,占马绍纳兰中部省的 47%。因此,模型预测潜在栖息地将减少约 13%,即研究区域减少约 3685km。温度、海拔和降雨量是解释博特 tick 当前和未来潜在栖息地的最重要变量。
我们的研究结果对于津巴布韦马绍纳兰中部省和类似环境中控制博特 tick 的计划具有重要意义。