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Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community

Integrated population models (IPMs) combine data on different aspects of demography with time-series of population abundance. IPMs are becoming increasingly popular in the study of wildlife populations, but their application has largely been restricted to the analysis of single species. However, spe...

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Autores principales: Lahoz-Monfort, José J., Harris, Michael P., Wanless, Sarah, Freeman, Stephen N., Morgan, Byron J. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010376/
https://www.ncbi.nlm.nih.gov/pubmed/32103881
http://dx.doi.org/10.1007/s13253-017-0279-4
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author Lahoz-Monfort, José J.
Harris, Michael P.
Wanless, Sarah
Freeman, Stephen N.
Morgan, Byron J. T.
author_facet Lahoz-Monfort, José J.
Harris, Michael P.
Wanless, Sarah
Freeman, Stephen N.
Morgan, Byron J. T.
author_sort Lahoz-Monfort, José J.
collection PubMed
description Integrated population models (IPMs) combine data on different aspects of demography with time-series of population abundance. IPMs are becoming increasingly popular in the study of wildlife populations, but their application has largely been restricted to the analysis of single species. However, species exist within communities: sympatric species are exposed to the same abiotic environment, which may generate synchrony in the fluctuations of their demographic parameters over time. Given that in many environments conditions are changing rapidly, assessing whether species show similar demographic and population responses is fundamental to quantifying interspecific differences in environmental sensitivity and highlighting ecological interactions at risk of disruption. In this paper, we combine statistical approaches to study populations, integrating data along two different dimensions: across species (using a recently proposed framework to quantify multi-species synchrony in demography) and within each species (using IPMs with demographic and abundance data). We analyse data from three seabird species breeding at a nationally important long-term monitoring site. We combine demographic datasets with island-wide population counts to construct the first multi-species Integrated Population Model to consider synchrony. Our extension of the IPM concept allows the simultaneous estimation of demographic parameters, adult abundance and multi-species synchrony in survival and productivity, within a robust statistical framework. The approach is readily applicable to other taxa and habitats. Supplementary materials accompanying this paper appear on-line. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary materials for this article are available at 10.1007/s13253-017-0279-4.
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spelling pubmed-70103762020-02-24 Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community Lahoz-Monfort, José J. Harris, Michael P. Wanless, Sarah Freeman, Stephen N. Morgan, Byron J. T. J Agric Biol Environ Stat Article Integrated population models (IPMs) combine data on different aspects of demography with time-series of population abundance. IPMs are becoming increasingly popular in the study of wildlife populations, but their application has largely been restricted to the analysis of single species. However, species exist within communities: sympatric species are exposed to the same abiotic environment, which may generate synchrony in the fluctuations of their demographic parameters over time. Given that in many environments conditions are changing rapidly, assessing whether species show similar demographic and population responses is fundamental to quantifying interspecific differences in environmental sensitivity and highlighting ecological interactions at risk of disruption. In this paper, we combine statistical approaches to study populations, integrating data along two different dimensions: across species (using a recently proposed framework to quantify multi-species synchrony in demography) and within each species (using IPMs with demographic and abundance data). We analyse data from three seabird species breeding at a nationally important long-term monitoring site. We combine demographic datasets with island-wide population counts to construct the first multi-species Integrated Population Model to consider synchrony. Our extension of the IPM concept allows the simultaneous estimation of demographic parameters, adult abundance and multi-species synchrony in survival and productivity, within a robust statistical framework. The approach is readily applicable to other taxa and habitats. Supplementary materials accompanying this paper appear on-line. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary materials for this article are available at 10.1007/s13253-017-0279-4. Springer US 2017-04-18 2017 /pmc/articles/PMC7010376/ /pubmed/32103881 http://dx.doi.org/10.1007/s13253-017-0279-4 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Lahoz-Monfort, José J.
Harris, Michael P.
Wanless, Sarah
Freeman, Stephen N.
Morgan, Byron J. T.
Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community
title Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community
title_full Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community
title_fullStr Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community
title_full_unstemmed Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community
title_short Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community
title_sort bringing it all together: multi-species integrated population modelling of a breeding community
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010376/
https://www.ncbi.nlm.nih.gov/pubmed/32103881
http://dx.doi.org/10.1007/s13253-017-0279-4
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