College of Arts and Sciences, Tennessee Technological University, Cookeville, Tennessee, USA.
Cornell Lab of Ornithology, Cornell University, Ithaca, New York, USA.
Glob Chang Biol. 2022 Sep;28(18):5469-5479. doi: 10.1111/gcb.16288. Epub 2022 Jun 16.
Global climate change is increasing the frequency and severity of extreme climatic events (ECEs) which may be especially detrimental during late-winter when many species are surviving on scarce resources. However, monitoring animal populations relative to ECEs is logistically challenging. Crowd-sourced datasets may provide opportunity to monitor species' responses to short-term chance phenomena such as ECEs. We used 14 years of eBird-a global citizen science initiative-to examine distribution changes for seven wintering waterfowl species across North America in response to recent extreme winter polar vortex disruptions. To validate inferences from eBird, we compared eBird distribution changes against locational data from 362 GPS-tagged Mallards (Anas platyrhynchos) in the Mississippi Flyway. Distributional shifts between eBird and GPS-tagged Mallards were similar following an ECE in February 2021. In general, the ECE affected continental waterfowl population distributions; however, responses were variable across species and flyways. Waterfowl distributions tended to stay near wintering latitudes or moved north at lesser distances compared with non-ECE years, suggesting preparedness for spring migration was a stronger "pull" than extreme weather was a "push" pressure. Surprisingly, larger-bodied waterfowl with grubbing foraging strategies (i.e., geese) delayed their northward range shift during ECE years, whereas smaller-bodied ducks were less affected. Lastly, wetland obligate species shifted southward during ECE years. Collectively, these results suggest specialized foraging strategies likely related to resource limitations, but not body size, necessitate movement from extreme late-winter weather in waterfowl. Our results demonstrate eBird's potential to monitor population-level effects of weather events, especially severe ECEs. eBird and other crowd-sourced datasets can be valuable to identify species which are adaptable or vulnerable to ECEs and thus, begin to inform conservation policy and management to combat negative effects of global climate change.
全球气候变化正在增加极端气候事件(ECEs)的频率和严重程度,这些事件在许多物种以稀缺资源为生的冬末可能尤其不利。然而,相对于 ECEs 监测动物种群在后勤上具有挑战性。众包数据集可能为监测物种对 ECE 等短期偶然现象的反应提供机会。我们使用了 14 年的 eBird——一项全球性的公民科学倡议——来研究北美七种越冬水禽物种的分布变化,以应对最近极端冬季极地涡旋干扰。为了验证 eBird 的推断,我们将 eBird 的分布变化与密西西比飞行航道 362 只 GPS 标记的绿头鸭(Anas platyrhynchos)的位置数据进行了比较。2021 年 2 月发生 ECE 后,eBird 和 GPS 标记的绿头鸭的分布变化相似。一般来说,ECE 影响了大陆水禽的种群分布;然而,反应在物种和飞行航道之间是可变的。与非 ECE 年份相比,水禽的分布往往靠近越冬纬度或向北移动的距离较小,这表明春季迁徙的准备是一个更强的“拉力”,而极端天气是一个较弱的“压力”。令人惊讶的是,具有挖掘觅食策略的较大体型水禽(即鹅)在 ECE 年份延迟了向北的范围转移,而较小体型的鸭子则受影响较小。最后,湿地专性物种在 ECE 年份向南转移。总的来说,这些结果表明,专门的觅食策略可能与资源限制有关,但与体型无关,这需要水禽在极端的冬末天气中移动。我们的研究结果表明,eBird 有潜力监测天气事件对种群水平的影响,特别是严重的 ECEs。eBird 和其他众包数据集可以帮助确定适应或易受 ECEs 影响的物种,从而开始为应对全球气候变化的负面影响提供保护政策和管理方面的信息。