V. Grosbois, M. P. Harris, T. Anker-Nilssen, R. H. McCleery, D. N. Shaw, B. J. T. Morgan, and O. Gimenez. 2009. Modeling survival at multi-population scales using mark–recapture data. Ecology 90:2922–2932.


Supplement

Scripts and multi-colony Atlantic Puffin data for running the mixed model for survival at the multi-population scale.
Ecological Archives
E090-208-S1
.

Copyright


Authors
File list (downloads)
Description


Author(s)

Vladimir Grosbois
CIRAD
UR AGIRs- Animal et Gestion Intégrée des Risques
TA C 22/E Campus International Baillarguet
34398 Montpellier Cedex 5, France
E-mail: vladimirgrosbois@hotmail.com

Olivier Gimenez
Centre d'Ecologie Fonctionnelle et Evolutive – CNRS – UMR 5175
1919 Route de Mende, 34293 Montpellier Cedex 5 – France
E-mail: olivier.gimenez@cefe.cnrs.fr


File list

marrayp1_Fair.dat  - M-arrays for the first trap-dependence age class in Fair Isle
marrayp1_May.dat  - M-arrays for the first trap-dependence age class in Isle of May
marrayp1_Rost.dat  - M-arrays for the first trap-dependence age class in Røst
marrayp1_Skomer.dat  - M-arrays for the first trap-dependence age class in Skomer
marrayp2_Fair.dat  - M-arrays for the second trap-dependence age class in Fair Isle
marrayp2_May.dat  - M-arrays for the second trap-dependence age class in Isle of May
marrayp2_Rost.dat  - M-arrays for the second trap-dependence age class in Røst
marrayp2_Skomer.dat  - M-arrays for the second trap-dependence age class in Skomer
SST.dat  - covariate values = sea surface temperature in the vicinity of the breeding colonies
multipoppuffins.R  - R script which reads in the data and calls WinBUGS
multipoppuffins.bug  - The WinBUGS script which runs the model with sea surface temperature (SST) as a covariate and both global- and local-scale variances
multipoppuffins.zip  - All files at once

Description

All the .dat files are text files containing the data, in the form of M-arrays, described and analyzed in the original paper; multipoppuffins.R and multipoppuffins.bug are the scripts with which the model described in the original paper and in Appendix A can be built and fitted to these data.


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