Data from: A periodic Markov model to formalise animal migration on a network [white-fronted goose data]

When using this dataset, please cite the original article.

Kölzsch A, Kleyheeg E, Kruckenberg H, Kaatz M, Blasius B (2018) A periodic Markov model to formalise animal migration on a network. Royal Society Open Science 5: 180438. doi:10.1098/rsos.180438

Additionally, please cite the Movebank data package:

Kruckenberg H, Müskens GJDM, Ebbinge BS (2018) Data from: A periodic Markov model to formalise animal migration on a network [white-fronted goose data]. Movebank Data Repository. doi:10.5441/001/1.kk38017f
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Package Identifier doi:10.5441/001/1.kk38017f  
 
Abstract NOTE: A portion of these same individuals and data are also published with doi 10.5441/001/1.31c2v92f. Regular, long-distance migrations of thousands of animal species have consequences for the ecosystems that they visit, modifying trophic interactions and transporting many non-pathogenic and pathogenic organisms. The spatial structure and dynamic properties of animal migrations and population flyways largely determine those trophic and transport effects, but are yet poorly studied. As a basis, we propose a periodic Markov model on the spatial migration network of breeding, stopover and wintering sites to formally describe the process of animal migration on the population level. From seasonally changing transition rates we derived stable, seasonal densities of animals at the network nodes. We parametrized the model with high-quality GPS and satellite telemetry tracks of white storks (Ciconia ciconia) and greater white-fronted geese (Anser a. albifrons). Topological and network flow properties of the two derived networks conform to migration properties like seasonally changing connectivity and shared, directed movement. Thus, the model realistically describes the migration movement of complete populations and can become an important tool to study the effects of climate and habitat change and pathogen spread on migratory animals. Furthermore, the property of periodically changing transition rates makes it a new type of complex model and we need to understand its dynamic properties.
Keywords animal migration, animal movement, animal tracking, Anser albifrons, Argos, avian migration, satellite telemetry, spatial migration network, white-gronted goose,

White-fronted goose full year tracks 2006-2010 Alterra IWWR-argos View File Details
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Download: White-fronted goose full year tracks 2006-2010 Alterra IWWR-argos.csv ( 790.8Kb )
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White-fronted goose full year tracks 2006-2010 Alterra IWWR-gps View File Details
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Download: White-fronted goose full year tracks 2006-2010 Alterra IWWR-gps.csv ( 1.176Mb )
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White-fronted goose full year tracks 2006-2010 Alterra IWWR-reference-data View File Details
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Download: White-fronted goose full year tracks 2006-2010 Alterra IWWR-reference-data.csv ( 1.168Kb )
To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data.  


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