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Similarities in butterfly emergence dates among populations suggest local adaptation to climate

机译:人群之间蝴蝶出苗日期的相似性表明当地对气候的适应

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Phenology shifts are the most widely cited examples of the biological impact of climate change, yet there are few assessments of potential effects on the fitness of individual organisms or the persistence of populations. Despite extensive evidence of climate-driven advances in phenological events over recent decades, comparable patterns across species' geographic ranges have seldom been described. Even fewer studies have quantified concurrent spatial gradients and temporal trends between phenology and climate. Here we analyse a large data set (similar to 129 000 phenology measures) over 37 years across the UK to provide the first phylogenetic comparative analysis of the relative roles of plasticity and local adaptation in generating spatial and temporal patterns in butterfly mean flight dates. Although populations of all species exhibit a plastic response to temperature, with adult emergence dates earlier in warmer years by an average of 6.4 days per degrees C, among-population differences are significantly lower on average, at 4.3 days per degrees C. Emergence dates of most species are more synchronised over their geographic range than is predicted by their relationship between mean flight date and temperature over time, suggesting local adaptation. Biological traits of species only weakly explained the variation in differences between space-temperature and time-temperature phenological responses, suggesting that multiple mechanisms may operate to maintain local adaptation. As niche models assume constant relationships between occurrence and environmental conditions across a species' entire range, an important implication of the temperature-mediated local adaptation detected here is that populations of insects are much more sensitive to future climate changes than current projections suggest.
机译:物候变化是气候变化对生物的影响最广为人知的例子,但很少评估对单个生物体适应性或种群持久性的潜在影响。尽管近几十年来有大量的证据表明气候驱动了物候事件,但很少描述物种地理范围内的可比模式。更少的研究量化了物候与气候之间并发的空间梯度和时间趋势。在这里,我们分析了整个英国37年的大量数据(类似于129 000项物候指标),提供了可塑性和局部适应性在蝴蝶平均飞行日期中产生时空分布图的相对作用方面的首次系统发育比较分析。尽管所有物种的种群均表现出对温度的可塑性响应,但成年出现的日期早于较温暖的年份平均每摄氏度6.4天,但种群之间的差异平均要低得多,平均每摄氏度4.3天。大多数物种在其地理范围内的同步程度高于其平均飞行日期与温度随时间的关系所预测的范围,表明存在局部适应性。物种的生物学特性仅微弱地解释了时空物候响应与时空响应之间差异的变化,表明多种机制可能起作用以维持局部适应。由于利基模型假设物种整个范围内的发生与环境条件之间具有恒定的关系,因此这里检测到的温度介导的局部适应性的重要含义是,昆虫种群对未来的气候变化比当前的预测更为敏感。

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