Improving the quantification of waterfowl migration with remote sensing and bird tracking  

作　　者：Yali Si Qinchuan Xin Herbert H.T.Prins Willem F.de Boer Peng Gong 

机构地区：[1]Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University [2]Joint Center for Global Change Studies [3]Resource Ecology Group, Wageningen University

出　　处：《Science Bulletin》2015年第23期1984-1993,共10页科学通报（英文版）

基　　金：supported by the National Natural Science Foundation of China(41471347 and 41401484);Tsinghua University(2012Z02287)

摘　　要：Accurately quantifying waterfowl migration patterns is pertinent to monitor ecosystem health and control bird-borne infectious diseases. In this review, we summarize the current understanding of the environmental mechanisms that drive waterfowl migration and then investigate the effect of intra- and inter-annual change in food supply and temperature(e.g., climate change) on their migration patterns. Recent advances in remote sensing and animal tracking techniques make it possible to monitor these environmental factors over a wide range of scales and record bird movements in detail. The synergy of these techniques will facilitate substantial progress in our understanding of the environmental drivers of bird migration. We identify prospects for future studies to test existing hypotheses and develop models integrating up-todate knowledge, high-resolution remote sensing data and high-accuracy bird tracking data. This will allow us to predict when waterfowl will be where, in response to shortand long-term global environmental change.Accurately quantifying waterfowl migration patterns is pertinent to monitor ecosystem health and control bird-borne infectious diseases. In this review, we summarize the current understanding of the environmental mechanisms that drive waterfowl migration and then investigate the effect of intra- and inter-annual change in food supply and temperature （e.g., climate change） on their migration patterns. Recent advances in remote sensing and animal tracking techniques make it possible to monitor these environmental factors over a wide range of scales and record bird movements in detail. The synergy of these techniques will facilitate substantial progress in our understanding of the environmental drivers of bird migra- tion. We identify prospects for future studies to test existing hypotheses and develop models integrating up-to- date knowledge, high-resolution remote sensing data and high-accuracy bird tracking data. This will allow us to predict when waterfowl will be where, in response to short- and long-term global environmental change.

关 键 词：Waterfowl migration · Environmentaldrivers · Phenology · Stopover ·Remote sensing ·Bird tracking 

分 类 号：Q958[生物学—动物学]