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Informing population models with evolutionary theory to infer species' conservation status

Data set information

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General  
Data holding centreBritish Oceanographic Data Centre
CountryUnited Kingdom  United Kingdom
Time periodTemporal metadata is not applicable for this model. Period refers to the start and end date of the grant.
OngoingNo
Observations 
Parameters

Fish morphology, age and physiology; Bird behaviour

Description 
Summary

This dataset comprises life history models of Scombrids, long lived sea-birds, and Kittiwake birds. Existing datasets for these species were used to produce theory predicting the demographic rates that are correlated with suites of life history traits, and then generate more precise posterior estimates of these demographic rates by fitting a structured population model. These models aim to generate new insights about the relationship between life-history traits of marine species, environmental drivers such as resources and mortality, and resilience to anthropogenic or environmental perturbations. The data were generated by the project titled "Informing population models with evolutionary theory to infer species' conservation status" funded by NERC Discovery Science grant NE/P004180/1 led by Professor Jason Matthiopoulos and Dr Catharine Horswill at University of Glasgow Institute of Biodiversity, Animal Health & Comparative Medicine.

OriginatorsUniversity of Glasgow Institute of Biodiversity, Animal Health and Comparative Medicine
References

Cat Horswill (2018) Global reconstruction of life-history strategies: A case study using tunas,

Availability 
OrganisationBritish Oceanographic Data Centre
AvailabilityUnrestricted
ContactPolly Hadžiabdić (Head of the BODC Requests Team)
Address

British Oceanographic Data Centre
Joseph Proudman Building 6 Brownlow Street
Liverpool
Merseyside
L3 5DA
United Kingdom

Telephone+44 (0)782 512 0946
Facsimile+44 (0)151 795 4912
Emailenquiries@bodc.ac.uk
Administration 
Collating centreBritish Oceanographic Data Centre
Local identifier1048-NE-P004180-1
Global identifier7098
Last revised2023-11-27