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Predicted decrease in global climate suitability masks regional complexity of invasive fruit fly species response to climate change

机译:全球气候适宜性的预测减少掩盖了入侵果蝇物种对气候变化的响应的区域复杂性

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摘要

Climate change affects the rate of insect invasions as well as the abundance, distribution and impacts of suchinvasions on a global scale. Among the principal analytical approaches to predicting and understandingfuture impacts of biological invasions are Species Distribution Models (SDMs), typically in the form ofcorrelative Ecological Niche Models (ENMs). An underlying assumption of ENMs is that speciesenvironmentrelationships remain preserved during extrapolations in space and time, although this is widelycriticised. The semi-mechanistic modelling platform, CLIMEX, employs a top-down approach using speciesecophysiological traits and is able to avoid some of the issues of extrapolation, making it highly applicable toinvestigating biological invasions in the context of climate change. The tephritid fruit flies (Diptera:Tephritidae) comprise some of the most successful invasive species and serious economic pests around theworld. Here we project 12 tephritid species CLIMEX models into future climate scenarios to examine overallpatterns of climate suitability and forecast potential distributional changes for this group. We further comparethe aggregate response of the group against species-specific responses. We then consider additional driversof biological invasions to examine how invasion potential is influenced by climate, fruit production and tradeindices. Considering the group of tephritid species examined here, climate change is predicted to decreaseglobal climate suitability and to shift the cumulative distribution poleward. However, when examiningspecies-level patterns, the predominant directionality of range shifts for 11 of the 12 species is eastward.Most notably, management will need to consider regional changes in fruit fly species invasion potentialwhere high fruit production, trade indices and predicted distributions of these flies overlap.
机译:气候变化在全球范围内影响着昆虫的入侵速度以及这种入侵的数量,分布和影响。用来预测和理解生物入侵未来影响的主要分析方法之一是物种分布模型(SDM),通常以相关生态位模型(ENM)的形式出现。 ENM的一个基本假设是,尽管在环境和时间上进行了推断,但物种与环境之间的关系仍然得以保留。半机械建模平台CLIMEX采用自上而下的方法,利用物种的生理生态特征,并能够避免某些外推问题,使其非常适用于在气候变化的背景下调查生物入侵。蝇类实蝇(双翅目:蝇科)包括一些世界上最成功的入侵物种和严重的经济害虫。在这里,我们将12种拟南芥物种CLIMEX模型投影到未来的气候情景中,以检验气候适宜性的总体模式并预测该群体的潜在分布变化。我们进一步比较该群体的总反应与物种特异性反应。然后,我们考虑其他生物入侵的驱动因素,以检验入侵潜力如何受到气候,水果生产和贸易指数的影响。考虑到这里检查的一组特霉病种类,预计气候变化将降低全球气候适应性,并使累积分布向极移。但是,在检查物种水平模式时,这12种中的11种的范围变化的主要方向是东移的。最值得注意的是,管理层将需要考虑果蝇物种入侵潜力的区域变化,其中果蝇的高产,贸易指数和这些物种的预测分布苍蝇重叠。

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