Avian Information Systems: Developing Web-Based Bird Avoidance Models

dc.contributor.authorShamoun-Baranes, Judyen_US
dc.contributor.authorBouten, Willemen_US
dc.contributor.authorBuurma, Luiten_US
dc.contributor.authorDeFusco, Russellen_US
dc.contributor.authorDekker, Arieen_US
dc.contributor.authorSierdsema, Henken_US
dc.contributor.authorSluiter, Florisen_US
dc.contributor.authorVan Belle, Jelmeren_US
dc.contributor.authorVan Gasteren, Hansen_US
dc.contributor.authorVan Loon, Emielen_US
dc.date.accessioned2009-07-31T15:00:43Z
dc.date.available2009-07-31T15:00:43Z
dc.date.issued2008en_US
dc.date.submitted2009-02-10en_US
dc.date.submitted2009-02-10en_US
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.identifier.citationjournalEcology and Societyen_US
dc.identifier.citationmonthJanuaryen_US
dc.identifier.citationnumber2en_US
dc.identifier.citationvolume13en_US
dc.identifier.urihttps://hdl.handle.net/10535/3405
dc.subjectbirdsen_US
dc.subjectspatial analysisen_US
dc.subject.sectorWildlifeen_US
dc.titleAvian Information Systems: Developing Web-Based Bird Avoidance Modelsen_US
dc.typeJournal Articleen_US
dc.type.publishedpublisheden_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ES-2008-2578.pdf
Size:
862.37 KB
Format:
Adobe Portable Document Format

Collections