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Species-specific ecological niche modelling predicts different range contractions for Lutzomyia intermedia and a related vector of Leishmania braziliensis following climate change in South America

机译:特定物种的生态位模型预测了南美气候变化后中间媒介鲁氏菌和巴西利什曼原虫的相关媒介的不同范围收缩

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BackgroundBefore 1996 the phlebotomine sand fly Lutzomyia neivai was usually treated as a synonym of the morphologically similar Lutzomyia intermedia , which has long been considered a vector of Leishmania braziliens is, the causative agent of much cutaneous leishmaniasis in South America. This report investigates the likely range changes of both sand fly species in response to a stabilisation climate change scenario (RCP4.5) and a high greenhouse gas emissions one (RCP8.5). MethodsEcological niche modelling was used to identify areas of South America with climates currently suitable for each species, and then the future distributions of these climates were predicted based on climate change scenarios. Compared with the previous ecological niche model of L. intermedia ( sensu lato ) produced using the GARP algorithm in 2003, the current investigation modelled the two species separately, making use of verified presence records and additional records after 2001. Also, the new ensemble approach employed ecological niche modelling algorithms (including Maximum Entropy, Random Forests and Support Vector Machines) that have been widely adopted since 2003 and perform better than GARP, as well as using a more recent climate change model (HadGEM2) considered to have better performance at higher resolution than the earlier one (HadCM2). Results Lutzomyia intermedia was shown to be the more tropical of the two species, with its climatic niche defined by higher annual mean temperatures and lower temperature seasonality, in contrast to the more subtropical L. neivai . These different latitudinal ranges explain the two species' predicted responses to climate change by 2050, with L. intermedia mostly contracting its range (except perhaps in northeast Brazil) and L. neivai mostly shifting its range southwards in Brazil and Argentina. This contradicts the findings of the 2003 report, which predicted more range expansion. The different findings can be explained by the improved data sets and modelling methods. ConclusionsOur findings indicate that climate change will not always lead to range expansion of disease vectors such as sand flies. Ecological niche models should be species specific, carefully selected and combined in an ensemble approach.
机译:背景在1996年以前,静脉放线菌沙蝇Lutzomyia neivai通常被视为中间形态相似的Lutzomyia intermedia的同义词,长期以来人们一直将其视为巴西利什曼原虫的载体,它是南美许多皮肤利什曼病的病原体。本报告调查了响应稳定的气候变化情景(RCP4.5)和高温室气体排放量(RCP8.5)两种沙蝇物种可能的范围变化。方法采用生态位生态模型来确定当前气候适合每种物种的南美地区,然后根据气候变化情景预测这些气候的未来分布。与2003年使用GARP算法产生的中间媒介乳香的生态位模型相比,当前的调查分别对这两个物种进行了建模,使用了经过验证的存在记录和2001年之后的其他记录。此外,采用了新的集成方法自2003年以来广泛采用的生态位建模算法(包括最大熵,随机森林和支持向量机),其性能优于GARP,并使用了最新的气候变化模型(HadGEM2),该模型在较高温度下具有更好的性能分辨率比早期版本(HadCM2)高。结果显示,中间的Lutzomyia是这两个物种中比较热带的一种,其气候生态位由较高的年平均温度和较低的温度季节性来定义,而与亚热带的L. neivai相反。这些不同的纬度范围解释了这两个物种到2050年对气候变化的预测响应,其中中度乳酸菌的收缩幅度最大(也许在巴西东北部除外),而奈瓦伊氏菌在巴西和阿根廷则向南移动。这与2003年报告的发现相矛盾,后者预测范围会扩大。改进的数据集和建模方法可以解释不同的发现。结论我们的发现表明,气候变化不会总是导致沙蝇等病媒的范围扩大。生态位模型应针对特定物种,精心选择并以整体方法组合。

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