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Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk

机译:集蛇分布、丰度、专家派生的行为特征预测蛇咬伤的风险

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摘要

Abstract Despite important implications for human health, distribution, abundance and behaviour of most medically relevant snakes remain poorly understood. Such data deficiencies hamper efforts to characterise the causal pathways of snakebite envenoming and to prioritise management options in the areas at greatest risk. We estimated the spatial patterns of abundance of seven medically relevant snake species from Sri Lanka, a snakebite hotspot, and combined them with indices of species' relative abundance, aggressiveness and envenoming severity obtained from an expert opinion survey, to test whether these fundamental ecological traits could explain spatial patterns of snakebite and envenoming incidence. The spatial intensity of snake occurrence records in relation to independent environmental factors (fundamental niches and land cover) was analysed with point process models. Then, with the estimated patterns of abundance, we tested which species' abundances added together, with and without weightings for aggressiveness, envenoming severity and relative abundance, best correlate with per capita geographic incidence patterns of snakebite and envenoming. We found that weighting abundance patterns by species' traits increased correlation with incidence. The best performing combination had three species weighted by aggressiveness and abundance, with a correlation of r = 0.47 (p < 0.01) with snakebite incidence. An envenoming severity and relative abundance‐weighted combination of two species was the most strongly associated with envenoming incidence (r = 0.46, p = 0). Synthesis and applications. We show that snakebite risk is explained by abundance, aggressiveness and envenoming severity of the snake species most frequently involved in envenoming cases. Incorporating causality via ecological information of key snake species is critical for snakebite risk mapping, helping to tailor preventive measures for dominant snake species and deploying the necessary antivenom therapies.
机译:摘要尽管对人类重要的影响健康、分布、丰度和行为的大多数医学相关的蛇仍然不佳理解。蛇咬伤的描述因果通路下毒,优先考虑管理选项在地区最大的风险。空间的丰富的七个医学模式有关蛇的物种从斯里兰卡,蛇咬伤热点,结合指数物种的相对多度,咄咄逼人和下毒严重程度从一个专家民意调查,测试是否这些基本生态特征可以解释空间模式蛇咬伤和下毒的发病率。空间强度的蛇出现记录与独立的环境因素(基本利基市场和土地覆盖)进行了分析点过程模型。估计模式的丰富,我们测试了物种的丰度加在一起,和没有攻击性的权重,下毒严重程度和相对丰度,最佳关联人均地理发病率的模式蛇咬伤和下毒。模式物种的丰度特征增加了与发病率相关。有三个物种的加权组合攻击性和丰富,具有相关性r = 0.47和蛇咬伤的发生率(p < 0.01)。一个下毒的严重程度和相对的丰富的加权组合的两个物种最与下毒密切相关发病率(r = 0.46, p = 0),合成和应用程序。解释为丰富,侵略性和下毒的蛇种经常参与下毒情况。通过生态将因果关系蛇关键物种的信息是至关重要的蛇咬伤风险映射,帮助调整预防措施为主导的蛇的物种和部署必要的抗蛇毒血清治疗。

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