European butterfly populations vary in sensitivity to weather across their geographical ranges
European butterfly populations vary in sensitivity to weather across their geographical ranges
复制标题
欧洲蝴蝶种群在其地理范围内对天气的敏感度有所不同
DOI：
10.1111/geb.12659
复制
发表时间：
2017
影响因子：
6.4
通讯作者：
Mills S
中科院分区：
文献类型：
--
作者：
Mills S
目的评估蝴蝶种群动态对地理范围内天气条件变化的敏感性，相对于对密度依赖的敏感性，并确定是否对纬度范围边缘的敏感性更高。欧洲时间1980-2014年。主要分类群蝴蝶研究。方法我们使用从芬兰到西班牙的900个地点的长期(35年)蝴蝶监测数据，将地点划分为2°纬度带。对于具有至少四个区带的足够数据的12种单化性蝴蝶，我们构建了种群增长率模型，该模型包括不同生命周期中的密度依赖、温度和降水，定义了适应物候学的区域差异。我们使用部分R2值作为蝴蝶种群动态对天气和密度依赖的敏感性的指标，并评估这些值在物种分布中随纬度位置的变化情况。结果种群增长率在物种的地理分布中对密度依赖一致敏感，并且对密度依赖的敏感性通常大于对天气的敏感性。对天气的敏感性在山脉边缘最大，在山脉的北部和南部具有对称性。这种模式不是由整个范围内天气变异性的大小、地形的异质性、纬度范围的范围或系统发育的变化所驱动的。在种群增长率模型中，重要的天气变量在生命周期和温度和降水之间呈现均匀分布，种群动态与特定天气变量之间的关联在种内存在显著差异。主要结论边缘种群似乎比靠近物种分布中心的种群对天气变化更敏感，但密度依赖并不表现出这种模式。在推动蝴蝶种群动态方面，降水和温度同样重要。对天气敏感的形式和强度的种内差异表明，种群对气候变化的反应可能存在重要的地理差异。
AimThe aim was to assess the sensitivity of butterfly population dynamics to variation in weather conditions across their geographical ranges, relative to sensitivity to density dependence, and determine whether sensitivity is greater towards latitudinal range margins.LocationEurope.Time period1980–2014.Major taxa studiedButterflies.MethodsWe use long‐term (35 years) butterfly monitoring data from > 900 sites, ranging from Finland to Spain, grouping sites into 2° latitudinal bands. For 12 univoltine butterfly species with sufficient data from at least four bands, we construct population growth rate models that include density dependence, temperature and precipitation during distinct life‐cycle periods, defined to accommodate regional variation in phenology. We use partialR2values as indicators of butterfly population dynamics' sensitivity to weather and density dependence, and assess how these vary with latitudinal position within a species' distribution.ResultsPopulation growth rates appear uniformly sensitive to density dependence across species' geographical distributions, and sensitivity to density dependence is typically greater than sensitivity to weather. Sensitivity to weather is greatest towards range edges, with symmetry in northern and southern parts of the range. This pattern is not driven by variation in the magnitude of weather variability across the range, topographic heterogeneity, latitudinal range extent or phylogeny. Significant weather variables in population growth rate models appear evenly distributed across the life cycle and across temperature and precipitation, with substantial intraspecific variation across the geographical ranges in the associations between population dynamics and specific weather variables.Main conclusionsRange‐edge populations appear more sensitive to changes in weather than those nearer the centre of species' distributions, but density dependence does not exhibit this pattern. Precipitation is as important as temperature in driving butterfly population dynamics. Intraspecific variation in the form and strength of sensitivity to weather suggests that there may be important geographical variation in populations' responses to climate change.
登录
查看更多内容
影响因子：
4.8
作者：
Leisnham PT;Lounibos LP;O'Meara GF;Juliano SA
通讯作者：
Juliano SA
DOI：
10.1098/rspb.2013.2612
发表时间：
2014-03-22
影响因子：
4.7
作者：
Vasseur, David A.;DeLong, John P.;O'Connor, Mary I.
通讯作者：
O'Connor, Mary I.
影响因子：
11.6
作者：
SANDVIK H;COULSON T;SÆTHER BE
通讯作者：
SÆTHER BE
影响因子：
4.8
作者：
B. Saether;Magnar Lillegård;V. Grøtan;M. Drever;S. Engen;T. Nudds;Kevin M. Podruzny
通讯作者：
Kevin M. Podruzny
影响因子：
2.8
作者：
M. Scoble
通讯作者：
M. Scoble