The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
Open accessAbstract
The dynamics of spatially structured populations is characterized by within- and between-patch processes. The available theory describes the latter with simple distance-dependent functions that depend on landscape properties such as interpatch distance or patch size. Despite its potential role, we lack a good mechanistic understanding of how the movement of individuals between patches affects the dynamics of these populations. We used the theoretical framework provided by movement ecology to make a direct representation of the processes determining how individuals connect local populations in a spatially structured population of Iberian lynx. Interpatch processes depended on the heterogeneity of the matrix where patches are embedded and the parameters defining individual movement behavior. They were also very sensitive to the dynamic demographic variables limiting the time moving, the within-patch dynamics of available settlement sites (both spatiotemporally heterogeneous) and the response of individuals to the perceived risk while moving. These context-dependent dynamic factors are an inherent part of the movement process, producing connectivities and dispersal kernels whose variability is affected by other demographic processes. Mechanistic representations of interpatch movements, such as the one provided by the movement-ecology framework, permit the dynamic interaction of birth–death processes and individual movement behavior, thus improving our understanding of stochastic spatially structured populations.
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Cites
Life-stage simulation analysis: Estimating vital-rate effects on population growth for conservation.
Wisdom, M. J., Mills, L. S., & Doak, D. F. (2000) · Ecology · doi:10.1890/0012-9658(2000)081[0628:lssaev]2.0.co;2 · Cited by 355
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Morales, J. M., Moorcroft, P. R., Matthiopoulos, J., Frair, J. L., Kie, J. G., Powell, R. A., Merrill, E. H., & Haydon, D. T. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0082 · Cited by 559
An emerging movement ecology paradigm
Nathan, R. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808918105 · Cited by 342
Jeltsch, F., Bonte, D., Pe'er, G., Reineking, B., Leimgruber, P., Balkenhol, N., Schröder, B., Buchmann, C. M., Mueller, T., Blaum, N., et al. (2013) · Movement Ecology · doi:10.1186/2051-3933-1-6 · Cited by 264
Self-citationThe role of agent-based models in wildlife ecology and management
McLane, A. J., Semeniuk, C., McDermid, G. J., & Marceau, D. J. (2011) · Ecological Modelling · doi:10.1016/j.ecolmodel.2011.01.020 · Cited by 255
Metadata
- Authors
- Revilla, E., & Wiegand, T.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-12-09
- Volume
- 105
- Issue
- 49
- Pages
- 19120-19125
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2043547433
- Cited by
- 181
- References
- 1
- FWCI
- 11.02
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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