Drivers of Odonata flight timing revealed by natural history collection data
Drivers of Odonata flight timing revealed by natural history collection data
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DOI：
10.1111/1365-2656.13795
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发表时间：
2022-08-22
影响因子：
4.8
通讯作者：
McGarvey，Daniel J.
中科院分区：
文献类型：
--
作者：
Woods，Taylor;McGarvey，Daniel J.
全球变化可能引起广泛的物候变化。但是，对这些变化的程度和普遍性的认识受到具有足够大时空范围的物候记录的限制。以北美蜻蜓（豆娘和蜻蜓）为模型系统，我们展示了如何结合自然历史博物馆和社区科学收藏，从1901年开始到2020年，可以更好地理解物候学。我们从分析器官功能特征开始。主坐标分析用于将捐赠属置于三维性状排序中。由此，我们确定了7个不同的官能团，并选择了一个单一的捐赠属来代表每个组。接下来，我们将捐赠记录与一系列环境协变量配对，包括气温和度数、光周期、降水、纬度和海拔。然后使用迭代子采样过程来减轻o捐赠数据集中的时空采样偏差。最后，利用通径分析量化了日数、光周期和降水对虫卵出现时间的直接影响，同时考虑了纬度、海拔和年份的间接影响。路径模型结果表明，度日数、光周期和降水量对赤潮发生时间均有显著影响，但度日数对赤潮发生时间的总体影响最大。值得注意的是，每个协变量对出现时间的影响在不同的功能群体中有所不同，在一些群体代表中观察到正相关关系，在另一些群体代表中观察到负相关关系。例如,Calopteryxsp。随着学位天数的增加，这种情况出现得更早，而轻蔑则占上风。以后出现。以前的研究将蚊子的出现时间与温度、光周期或降水联系起来。通过使用自然历史博物馆和社区科学数据同时检查这三种影响，我们表明现在有可能在系统层面上理解器官物候学。
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 sampling bias within the odonate dataset. Finally, we use path analysis to quantify the direct effects of degree days, photoperiod and precipitation on odonate emergence timing, while accounting for indirect effects of latitude, elevation and year.Path models showed that degree days, photoperiod and precipitation each have a significant influence on odonate emergence timing, but degree days have the largest overall effect. Notably, the effect that each covariate has on emergence timing varied among functional groups, with positive relationships observed for some group representatives and negative relationships observed for others. For instance,Calopteryxsp. emerged earlier as degree days increased, whileSympetrumsp. emerged later.Previous studies have linked odonate emergence timing to temperature, photoperiod or precipitation. By using natural history museum and community science data to simultaneously examine all three influences, we show that systems‐level understanding of odonate phenology may now be possible.