A spatio-temporal comparison of avian migration phenology using Citizen Science data

被引:7
|
作者
Arab, Ali [1 ]
Courter, Jason R. [2 ]
Zelt, Jessica [3 ]
机构
[1] Georgetown Univ, Dept Math & Stat, 37th & O St, Washington, DC 20057 USA
[2] Malone Univ, Dept Sci & Math, 2600 Cleveland Ave NW, Canton, OH 44709 USA
[3] USGS, Patuxent Wildlife Res Ctr, BARC East,Bldg 308,10300 Baltimore Ave, Beltsville, MD 20705 USA
关键词
Spatial analysis; Hierarchical Bayesian models; Markov chain Monte Carlo; Ornithology; Climate change; NORTH-ATLANTIC OSCILLATION; SPRING MIGRATION; CLIMATE-CHANGE; BIRDS; MODELS; HUMMINGBIRDS; DISTANCE; IMPACTS; ARRIVAL;
D O I
10.1016/j.spasta.2016.06.006
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The effects of climate change have wide-ranging impacts on wildlife species and recent studies indicate that birds' spring arrival dates are advancing in response to changes in global climates. In this paper, we propose a spatio-temporal approach for comparing avian first arrival data for multiple species. As an example, we analyze spring arrival data for two long-distance migrants (Ruby-throated Hummingbird Archilochus colubris; and Purple Martin Progne subis) in eastern North America from 2001-2010 using Citizen Science data. The proposed approach provides researchers with a tool to compare mean arrival dates while accounting for spatial and temporal variability. Our results show that on average, Purple Martins arrive 29.95 to 31.84 days earlier than Ruby-throated Hummingbirds, but after accounting for this overall difference, spatial nuances exist whereby martins arrive earlier in the southern United States and migrate northward at a slower rate than hummingbirds. Differences were also noted in how climate and weather variables such as the North Atlantic Oscillation index, winter temperature, winter-spring precipitation, sampling effort, and altitude impacted migration dates. Our method may easily be generalized to analyze a broad range of temporal and spatial Citizen Scientists data to help better understand the ecological impacts of climate change. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:234 / 245
页数:12
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