Drivers of Odonata flight timing revealed by natural history collection data

Global change may cause widespread phenological shifts. But knowledge of the extent and generality of these shifts is limited by the availability of phenological records with sufficiently large spatiotemporal extents. Using North American odonates (damselflies and dragonflies) as a model system, we show how a combination of natural history museum and community science collections, beginning in 1901 and extending through 2020, can be leveraged to better understand phenology.
We begin with an analysis of odonate functional traits. Principal coordinate analysis is used to place odonate genera within a three-dimensional trait ordination. From this, we identify seven distinct functional groups and select a single odonate genus to represent each group. Next, we pair the odonate records with a list of environmental covariates, including air temperature and degree days, photoperiod, precipitation, latitude, and elevation. An iterative subsampling process is then used to mitigate spatiotemporal ...

全球变化或引发广泛的物候变化（phenological shifts）。然而，由于缺乏时空范围足够大的物候记录，人们对这些变化的程度与普遍性的认知仍存在局限。本研究以北美蜻蜓目昆虫（odonates，含豆娘与蜻蜓）为模型系统，展示了如何利用1901年至2020年间的自然历史博物馆馆藏与社区科学数据集，深化对物候学的理解。
我们首先分析蜻蜓目昆虫的功能性状。主坐标分析（Principal coordinate analysis）被用于将蜻蜓目各属置于三维性状排序空间中。据此，我们识别出七个不同的功能类群，并为每个类群选择一个蜻蜓目属作为代表。接下来，我们将蜻蜓目记录与一系列环境协变量（environmental covariates）配对，包括气温、积温日数、光周期、降水量、纬度及海拔。随后，采用迭代子采样过程（iterative subsampling process）以缓解时空...