jane12054-sup-0001-AppendixS1

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Supplementary material to Bauer & Klaassen: Mechanistic models of
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animal migration behaviour – their diversity, structure and use.
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Appendix S1: Other approaches
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There has been incidental use of other methods to model animal migration, which are briefly
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summarised in the following (see Appendix S2 Table S2 for full list of “Other approaches”).
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Network analysis. Network analysis is based on the mathematical framework of graph theory and has
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been applied in many subject areas (Newman, Watts & Strogatz 2002). A migratory network in
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particular, is a collection of nodes, which are the breeding, non-breeding and migratory staging sites,
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and edges, which are the migratory routes connecting pairs of sites. Edges can for instance be weighed
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by migration distance or by the proportion of the population that makes use of that edge. The network
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can be characterised by its ‘direction’, where it is considered ‘undirected’ when individuals employ a
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return migration between wintering and breeding sites or directed if movements are in a specific
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direction only. The degree of connectivity for a given site is defined as the number of (weighed) edges
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that connect to it. Network analysis has been used to identify sites of high importance in migratory
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networks (Shimazaki et al. 2004; Kolzsch & Blasius 2008), to assist in reserve planning (Malcolm et
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al. 2002) as well as how habitat loss in a network of sites, and in particularly variations in connectivity
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between sites, affects population dynamics in migratory birds (Taylor & Norris 2010).
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GIS based approaches. Using specific characteristics of the physical landscape, some studies have
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attempted to predict migration pathways in a geographic-information system (Tankersley & Orvis
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2003; Musiega, Kazadi & Fukuyama 2006; Musiega, Kazadi & Fukuyama 2006).
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Matrix models. A matrix-modelling (or another probability modelling) approach has been used to
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assess the demographic, population-dynamical consequences of migratory behaviour or the impact of
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human actions (e.g. Charles et al. 2000; Bolger et al. 2008). These models usually consider migration
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only implicitly.
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The few remaining approaches cannot be summarized further and include visualisation tools (Wu et al.
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2006), vector summation models that challenge the hypothesized clock-and-compass navigation of
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birds (Mouritsen 1998; Mouritsen & Mouritsen 2000; Thorup & Rabol 2001; Thorup et al. 2003).
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References
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Bolger, D.T., Newmark, W.D., Morrison, T.A. & Doak, D.F. (2008) The need for integrative approaches
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to understand and conserve migratory ungulates. Ecology Letters, 11, 63-77.
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Charles, S., De La Parra, R.B., Mallet, J.P., Persat, H. & Auger, P. (2000) Annual spawning migrations in
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modelling brown trout population dynamics inside an arborescent river network. Ecological
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Modelling, 133, 15-31.
Kolzsch, A. & Blasius, B. (2008) Theoretical approaches to bird migration. European Physical JournalSpecial Topics, 157, 191-208.
Malcolm, J.R., Markham, A., Neilson, R.P. & Garaci, M. (2002) Estimated migration rates under
scenarios of global climate change. Journal of Biogeography, 29, 835-849.
Mouritsen, H. (1998) Modelling migration: the clock-and-compass model can explain the distribution
of ringing recoveries. Animal Behaviour, 56, 899-907.
Mouritsen, H. & Mouritsen, O. (2000) A mathematical expectation model for bird navigation based
on the clock-and-compass strategy. Journal of Theoretical Biology, 207, 283-291.
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Musiega, D.E., Kazadi, S.N. & Fukuyama, K. (2006) A framework for predicting and visualizing the East
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African wildebeest migration-route patterns in variable climatic conditions using geographic
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information system and remote sensing. Ecological Research, 21, 530-543.
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Newman, M.E.J., Watts, D.J. & Strogatz, S.H. (2002) Random graph models of social networks.
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Proceedings of the National Academy of Sciences of the United States of America, 99, 2566.
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Shimazaki, H., Tamura, M., Darman, Y., Andronov, V., Parilov, M.P., Nagendran, M. & Higuchi, H.
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(2004) Network analysis of potential migration routes for Oriental White Storks (Ciconia
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boyciana). Ecological Research, 19, 683-698.
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Tankersley, R. & Orvis, K. (2003) Modeling the geography of migratory pathways and stopover
habitats for neotropical migratory birds. Conservation Ecology, 7.
Taylor, C.M. & Norris, D.R. (2010) Population dynamics in migratory networks. Theoretical Ecology, 3,
65-73.
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Thorup, K., Alerstam, T., Hake, M. & Kjellen, N. (2003) Can vector summation describe the orientation
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system of juvenile ospreys and honey buzzards? - An analysis of ring recoveries and satellite
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tracking. Oikos, 103, 350-359.
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Thorup, K. & Rabol, J. (2001) The orientation system and migration pattern of long-distance migrants:
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conflict between model predictions and observed patterns. Journal of Avian Biology, 32, 111-
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Wu, Y., Price, B., Isenegger, D., Fischlin, A., Allgower, B. & Nuesch, D. (2006) Real-time 4D
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visualization of migratory insect dynamics within an integrated spatiotemporal system.
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Ecological Informatics, 1, 179-187.
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