Estimating the functional form for the density? Dependence from life history data
Coulson, Tim . et al. Two contrasting approaches to the analysis of population dynamics are currently popular: demographic approaches where the associations between demographic rates and statistics summarizing the population dynamics are identified; and time series approaches where the associations...
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Ecological Society of America
2008
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Online Access: | http://hdl.handle.net/10261/103630 https://doi.org/10.1890/07-1099.1 |
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ftcsic:oai:digital.csic.es:10261/103630 2024-02-11T10:06:28+01:00 Estimating the functional form for the density? Dependence from life history data Coulson, Tim Tavecchia, Giacomo 2008 http://hdl.handle.net/10261/103630 https://doi.org/10.1890/07-1099.1 unknown Ecological Society of America http://dx.doi.org/10.1890/07-1099.1 doi:10.1890/07-1099.1 issn: 0012-9658 Ecology 89(6): 1661-1674 (2008) http://hdl.handle.net/10261/103630 none Age-structure fluctuations Time series analysis Soay sheep Ovis arics North Atlantic Oscillation Nonlinear dynamics artículo http://purl.org/coar/resource_type/c_6501 2008 ftcsic https://doi.org/10.1890/07-1099.1 2024-01-16T10:01:54Z Coulson, Tim . et al. Two contrasting approaches to the analysis of population dynamics are currently popular: demographic approaches where the associations between demographic rates and statistics summarizing the population dynamics are identified; and time series approaches where the associations between population dynamics, population density, and environmental covariates are investigated. In this paper, we develop an approach to combine these methods and apply it to detailed data from Soay sheep (Ovis aries). We examine how density dependence and climate contribute to fluctuations in population size via age- and sex-specific demographic rates, and how fluctuations in demographic structure influence population dynamics. Density dependence contributes most, followed by climatic variation, age structure fluctuations and interactions between density and climate. We then simplify the density-dependent, stochastic, age-structured demographic model and derive a new phenomenological time series which captures the dynamics better than previously selected functions. The simple method we develop has potential to provide substantial insight into the relative contributions of population and individual-level processes to the dynamics of populations in stochastic environments. © 2008 by the Ecological Society of America. Peer Reviewed Article in Journal/Newspaper North Atlantic North Atlantic oscillation Digital.CSIC (Spanish National Research Council) Ecology 89 6 1661 1674 |
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Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
unknown |
topic |
Age-structure fluctuations Time series analysis Soay sheep Ovis arics North Atlantic Oscillation Nonlinear dynamics |
spellingShingle |
Age-structure fluctuations Time series analysis Soay sheep Ovis arics North Atlantic Oscillation Nonlinear dynamics Coulson, Tim Tavecchia, Giacomo Estimating the functional form for the density? Dependence from life history data |
topic_facet |
Age-structure fluctuations Time series analysis Soay sheep Ovis arics North Atlantic Oscillation Nonlinear dynamics |
description |
Coulson, Tim . et al. Two contrasting approaches to the analysis of population dynamics are currently popular: demographic approaches where the associations between demographic rates and statistics summarizing the population dynamics are identified; and time series approaches where the associations between population dynamics, population density, and environmental covariates are investigated. In this paper, we develop an approach to combine these methods and apply it to detailed data from Soay sheep (Ovis aries). We examine how density dependence and climate contribute to fluctuations in population size via age- and sex-specific demographic rates, and how fluctuations in demographic structure influence population dynamics. Density dependence contributes most, followed by climatic variation, age structure fluctuations and interactions between density and climate. We then simplify the density-dependent, stochastic, age-structured demographic model and derive a new phenomenological time series which captures the dynamics better than previously selected functions. The simple method we develop has potential to provide substantial insight into the relative contributions of population and individual-level processes to the dynamics of populations in stochastic environments. © 2008 by the Ecological Society of America. Peer Reviewed |
format |
Article in Journal/Newspaper |
author |
Coulson, Tim Tavecchia, Giacomo |
author_facet |
Coulson, Tim Tavecchia, Giacomo |
author_sort |
Coulson, Tim |
title |
Estimating the functional form for the density? Dependence from life history data |
title_short |
Estimating the functional form for the density? Dependence from life history data |
title_full |
Estimating the functional form for the density? Dependence from life history data |
title_fullStr |
Estimating the functional form for the density? Dependence from life history data |
title_full_unstemmed |
Estimating the functional form for the density? Dependence from life history data |
title_sort |
estimating the functional form for the density? dependence from life history data |
publisher |
Ecological Society of America |
publishDate |
2008 |
url |
http://hdl.handle.net/10261/103630 https://doi.org/10.1890/07-1099.1 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
http://dx.doi.org/10.1890/07-1099.1 doi:10.1890/07-1099.1 issn: 0012-9658 Ecology 89(6): 1661-1674 (2008) http://hdl.handle.net/10261/103630 |
op_rights |
none |
op_doi |
https://doi.org/10.1890/07-1099.1 |
container_title |
Ecology |
container_volume |
89 |
container_issue |
6 |
container_start_page |
1661 |
op_container_end_page |
1674 |
_version_ |
1790604201829597184 |