Notaro Michael, Schummer Michael, Zhong Yafang, Vavrus Stephen, Van Den Elsen Lena, Coluccy John, Hoving Christopher
Nelson Institute Center for Climatic Research, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Department of Biological Sciences, State University of New York at Oswego, Oswego, New York, United States of America.
PLoS One. 2016 Dec 13;11(12):e0167506. doi: 10.1371/journal.pone.0167506. eCollection 2016.
Projected changes in the relative abundance and timing of autumn-winter migration are assessed for seven dabbling duck species across the Mississippi and Atlantic Flyways for the mid- and late 21st century. Species-specific observed relationships are established between cumulative weather severity in autumn-winter and duck population rate of change. Dynamically downscaled projections of weather severity are developed using a high-resolution regional climate model, interactively coupled to a one-dimensional lake model to represent the Great Lakes and associated lake-effect snowfall. Based on the observed relationships and downscaled climate projections of rising air temperatures and reduced snow cover, delayed autumn-winter migration is expected for all species, with the least delays for the Northern Pintail and the greatest delays for the Mallard. Indeed, the Mallard, the most common and widespread duck in North America, may overwinter in the Great Lakes region by the late 21st century. This highlights the importance of protecting and restoring wetlands across the mid-latitudes of North America, including the Great Lakes Basin, because dabbling ducks are likely to spend more time there, which would impact existing wetlands through increased foraging pressure. Furthermore, inconsistency in the timing and intensity of the traditional autumn-winter migration of dabbling ducks in the Mississippi and Atlantic Flyways could have social and economic consequences to communities to the south, where hunting and birdwatching would be affected.
研究评估了21世纪中叶和后期,密西西比和大西洋飞行路线上七种涉禽的秋冬迁徙相对丰度和时间的预测变化。建立了秋冬累积天气严重程度与鸭种群变化率之间的特定物种观测关系。利用高分辨率区域气候模型动态降尺度预测天气严重程度,该模型与一维湖泊模型交互耦合,以模拟五大湖及相关的湖泊效应降雪。根据观测关系以及气温上升和积雪减少的降尺度气候预测,预计所有物种的秋冬迁徙都会延迟,针尾鸭延迟最少,绿头鸭延迟最多。事实上,北美最常见、分布最广的绿头鸭,到21世纪末可能会在五大湖地区越冬。这凸显了保护和恢复北美中纬度地区湿地的重要性,包括五大湖流域,因为涉禽可能会在那里停留更长时间,这将通过增加觅食压力影响现有的湿地。此外,密西西比和大西洋飞行路线上涉禽传统秋冬迁徙的时间和强度不一致,可能会对南部社区产生社会和经济影响,那里的狩猎和观鸟活动将受到影响。