Journal article
Continuous and discrete extreme climatic events affecting the dynamics of a high-arctic reindeer population
Oecologia, Vol.145(4), pp.556-563
2005
DOI: 10.1007/s00442-005-0157-6
PMID: 16010537
Abstract
Climate at northern latitudes are currently changing both with regard to the mean and the temporal variability at any given site, increasing the frequency of extreme events such as cold and warm spells. Here we use a conceptually new modelling approach with two different dynamic terms of the climatic effects on a Svalbard reindeer population (the Brø ggerhalvøya population) which underwent an extreme icing event ("locked pastures") with 80% reduction in population size during one winter (1993/94). One term captures the continuous and linear effect depending upon the Arctic Oscillation and another the discrete (rare) "event" process. The introduction of an "event" parameter describing the discrete extreme winter resulted in a more parsimonious model. Such an approach may be useful in strongly age-structured ungulate populations, with young and very old individuals being particularly prone to mortality factors during adverse conditions (resulting in a population structure that differs before and after extreme climatic events). A simulation study demonstrates that our approach is able to properly detect the ecological effects of such extreme climate events. © Springer-Verlag 2005.
Details
- Title: Subtitle
- Continuous and discrete extreme climatic events affecting the dynamics of a high-arctic reindeer population
- Creators
- Kung-Sik Chan - University of IowaAtle Mysterud - University of OsloNils Are Oritsland - Outhere AS, Ovenbakken 14B, 1361, Østerås, NorwayTorbjørn Severinsen - University of OsloNils Chr Stenseth - University of Oslo
- Resource Type
- Journal article
- Publication Details
- Oecologia, Vol.145(4), pp.556-563
- Publisher
- Springer
- DOI
- 10.1007/s00442-005-0157-6
- PMID
- 16010537
- ISSN
- 0029-8549
- eISSN
- 1432-1939
- Language
- English
- Date published
- 2005
- Academic Unit
- Statistics and Actuarial Science; Radiology
- Record Identifier
- 9984257614902771
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