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Avian Information Systems: Developing Web-Based Bird Avoidance Models

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dc.contributor.author Shamoun-Baranes, Judy en_US
dc.contributor.author Bouten, Willem en_US
dc.contributor.author Buurma, Luit en_US
dc.contributor.author DeFusco, Russell en_US
dc.contributor.author Dekker, Arie en_US
dc.contributor.author Sierdsema, Henk en_US
dc.contributor.author Sluiter, Floris en_US
dc.contributor.author Van Belle, Jelmer en_US
dc.contributor.author Van Gasteren, Hans en_US
dc.contributor.author Van Loon, Emiel en_US
dc.date.accessioned 2009-07-31T15:00:43Z
dc.date.available 2009-07-31T15:00:43Z
dc.date.issued 2008 en_US
dc.date.submitted 2009-02-10 en_US
dc.date.submitted 2009-02-10 en_US
dc.identifier.uri https://hdl.handle.net/10535/3405
dc.description.abstract "Collisions between aircraft and birds, so-called 'strikes,' can result in serious damage to aircraft and even in the loss of lives. Information about the distribution of birds in the air and on the ground can be used to reduce the risk of bird strikes and their impact on operations en route and in and around air fields. Although a wealth of bird distribution and density data is collected by numerous organizations, these data are not readily available nor interpretable by aviation. This paper presents two national efforts, one in the Netherlands and one in the United States, to develop bird avoidance nodels for aviation. These models integrate data and expert knowledge on bird distributions and migratory behavior to provide hazard maps in the form of GIS-enabled Web services. Both models are in operational use for flight planning and flight alteration and for airfield and airfield vicinity management. These models and their presentation on the Internet are examples of the type of service that would be very useful in other fields interested in species distribution and movement information, such as conservation, disease transmission and prevention, or assessment and mitigation of anthropogenic risks to nature. We expect that developments in cyber-technology, a transition toward an open source philosophy, and higher demand for accessible biological data will result in an increase in the number of biological information systems available on the Internet." en_US
dc.subject birds en_US
dc.subject spatial analysis en_US
dc.title Avian Information Systems: Developing Web-Based Bird Avoidance Models en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.subject.sector Wildlife en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 13 en_US
dc.identifier.citationnumber 2 en_US
dc.identifier.citationmonth January en_US

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