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

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    Author
    Lahoz-Monfort, JJ; Harris, MP; Wanless, S; Freeman, SN; Morgan, BJT
    Date
    2017-06-01
    Source Title
    Journal of Agricultural, Biological, and Environmental Statistics
    Publisher
    SPRINGER
    University of Melbourne Author/s
    Lahoz-Monfort, Jose
    Affiliation
    School of BioSciences
    Metadata
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    Document Type
    Journal Article
    Citations
    Lahoz-Monfort, J. J., Harris, M. P., Wanless, S., Freeman, S. N. & Morgan, B. J. T. (2017). Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 22 (2), pp.140-160. https://doi.org/10.1007/s13253-017-0279-4.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/259088
    DOI
    10.1007/s13253-017-0279-4
    Abstract
    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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