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首页> 外文期刊>Journal of Medical Entomology >Climate niches of tick species in the Mediterranean region: modeling of occurrence data, distributional constraints, and impact of climate change
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Climate niches of tick species in the Mediterranean region: modeling of occurrence data, distributional constraints, and impact of climate change

机译:地中海地区壁虱物种的气候生态位:发生数据,分布约束和气候变化影响的建模

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In this study, we used ecological niche factor analysis (ENFA) and principal components analysis (PCA) of climate variables to define the climate niches and areas of potential colonization of six species of ticks in the Mediterranean region: Dermacentor marginatus Sulzer, Rhipicephalus bursa Canestrini & Fanzago, Rhipicephalus turanicus Pomerantsev, Matikashvili & Lototsky, Hyalomma marginatum Koch, Hyalomma excavatum Koch, and Boophilus annulatus (Say). ENFA generated distribution models that varied in accuracy from high to very high (area under the curve [AUC] = 0.87-0.97), with the lowest AUC obtained for B. annulatus. PCA provided an adequate separation of the climate niches of different species in the reduced space of the variables. Climate scenarios and factorial consensus analysis were used to evaluate the geographic impact of climate change (as turnover in habitat suitability) on the niches of the ticks and net variations in habitat availability. The scenario that was most compatible with estimates of future climate in the Mediterranean region (increase in temperature and decrease in rainfall) was predicted to produce a sharp increase in the extent of suitable habitat for R. bursa, R. turanicus, and H. marginatum. This scenario would result in a northward expansion of suitable habitat areas for these three species. The highest impact (highest species turnover) would be recorded at the margin of the current distribution range of the three species. A sensitivity analysis of the ecological response of the ticks to the climate change scenarios showed that the response is statistically different in different regions of the PCA-derived niche. These results outline the need to further investigate the potential of bioclimate models to obtain accurate estimations of tick species turnover under conditions of climate change over wide areas.
机译:在这项研究中,我们使用了生态位生态因子分析(ENFA)和气候变量的主成分分析(PCA)来定义气候ni和地中海地区六种s的潜在定殖区域:Dermacentor marginatus Sulzer,Rhipicephalus bursa Canestrini &Fanzago,Rhipicephalus turanicus Pomerantsev,Matikkashvili&Lototsky,Hyalomma marginatum Koch,Hyalomma excavatum Koch和Boophilus annulatus(说)。 ENFA生成的分布模型的准确度从高到高(曲线下的面积[AUC] = 0.87-0.97),其准确性最高,而环状双歧杆菌的AUC最低。 PCA在减小的变量空间中充分隔离了不同物种的气候生态位。气候情景和因子共识分析用于评估气候变化对生态系统壁垒的壁垒(生境适应性周转)和生境可利用性的净变化的地理影响。预测与地中海地区未来气候的估计最吻合的情景(温度升高和降雨减少)预计将使burs。bursa,R。turanicus和H. marginatum的适宜生境范围急剧增加。 。这种情况将导致这三个物种的适当栖息地向北扩展。影响最大(物种周转率最高)将记录在三个物种当前分布范围的边缘。 the对气候变化情景的生态响应的敏感性分析表明,在PCA衍生的生态位的不同区域中,响应在统计上是不同的。这些结果概述了需要进一步研究生物气候模型的潜力,以便在大范围的气候变化条件下获得壁虱物种更新的准确估计。

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