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Large-scale disease patterns explained by climatic seasonality and host traits
Oecologia ( IF 2.7 ) Pub Date : 2020-10-24 , DOI: 10.1007/s00442-020-04782-x
Antoine Filion , Alan Eriksson , Fátima Jorge , Chris N. Niebuhr , Robert Poulin

Understanding factors affecting the distribution of vector-borne diseases in space and across species is of prime importance to conservation ecologists. Identifying the underlying patterns of disease requires a perspective encompassing large spatial scales. However, few studies have investigated disease ecology from a macroecological perspective. Hence, we use a global disease database to uncover worldwide infection patterns using avian malaria (Plasmodium) as a model for vector-borne disease transmission. Using data on 678 bird species from 442 locations, we show that environmental variables likely to synchronize bird and vector abundance are the key factors dictating infection risk for birds. Moreover, direct effects of host traits on exposure risk as well as potential trade-offs in resource allocation were also shown to affect disease susceptibility, with larger bird species being more prone to infection. Our results suggest that considering evolutionary strategies and factors influencing spatial overlap between hosts and vectors is crucial for understanding worldwide patterns of disease transmission success.



中文翻译:

气候季节性和寄主特征解释的大规模疾病模式

对于保护生态学家而言,了解影响媒介传播的疾病在空间和整个物种中分布的因素至关重要。识别潜在的疾病模式需要涵盖大空间尺度的视角。但是,很少有研究从宏观生态学的角度研究疾病生态学。因此,我们使用全球疾病数据库来发现禽类疟疾(疟原虫)的全球感染模式)作为媒介传播疾病传播的模型。使用来自442个地点的678种鸟类的数据,我们表明,可能使鸟类和媒介数量同步的环境变量是决定鸟类感染风险的关键因素。此外,还显示出寄主性状对接触风险的直接影响以及资源分配的潜在折衷会影响疾病的易感性,较大的鸟类更容易感染。我们的结果表明,考虑进化策略和影响宿主与载体之间空间重叠的因素对于理解全球疾病传播成功模式至关重要。

更新日期:2020-10-30
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