科创中国

Combining spatial modelling and radar to identify and protect avian migratory hot-spots

原文链接：万方

• 作者：

  Mark DESHOLM,Rashpal GILL,Thomas BOVITH,Anthony D. FOX

• 摘要：

  Migrating landbirds are known to follow coast lines and concentrate on peninsulas prior to crossing water bodies, es- pecially during daylight but also at night, creating enhanced potential collision hazards with man-made objects. Knowing where these avian migration "hot-spots" occur in time and space is vital to improve flight safety and inform the spatial planning process (e.g. environmental assessments for offshore windfarms). We developed a simple spatial model to identify avian migration hot- spots in coastal areas based on prevailing migration orientation and coastline features known, from visual and radar observations, to concentrate migrating landbirds around land masses. Regional scale model validation was achieved by combining nocturnal passerine movement data gathered from two tier radar coverage (long-range dual-polarization Doppler weather radar and short- range marine surveillance radar) and standardised bird ringing. Applied on a national scale, the model correctly identified the ten most important Danish coastal hot-spots for spring migrants and predicted the relative numbers of birds that concentrated at each site. These bird numbers corresponded well with historical observational data. Here, we provide a potential framework for the es- tablishment of the first three-dimensional avian airspace sanctuaries, which could contribute to more effective conservation of long-distance migratory birds [Current Zoology 60 (5): 680-691, 2014].

• 关键词：

  鸟类保护区 雷达识别 迁徙 空间建模 多普勒天气雷达 空间模型 沿海地区 海上风电场

• 作者单位：

  Department of Bioscience, Aarhus University, Kalo, Grenavej 14, 8410 Ronde, Denmark%BirdLife Denmark, Vesterbrogade 140, 1620 Copenhagen V, Denmark%Research Department, Danish Meteorological Institute, Lyngbyvej 100, 2100 Copenhagen O, Denmark

• 来源期刊：

  动物学报(英文版)

• 年，卷(期)：

  2014005