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Capture-mark-recapture data modelling survival rates of Microcebus murinus in relation to glucocorticoid level, parasite infection and body condition

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posted on 2017-09-01, 08:26 authored by Josué H Rakotoniaina, Peter M Kappeler, Eva Kaesler, Anni M Hämäläinen, Clemens Kirschbaum, Cornelia Kraus

This dataset consists of an Excel spreadsheet containing capture-mark-recapture data, which were used to model survival of Microcebus murinus in different contexts.

These were:

- a Multistate modelling approach to model semi-annual survival relative to hair cortisol concentration (HCC) and scaled mass index (SMI). Median or third quartile were used as categorization cut-off.

- a Cormack-Jolly-Seber (CJS) modelling approach to model survival over the reproductive season relative to hair cortisol concentration, scaled mass index, and pattern of parasitism which was measured as the parasite species richness (number of distinct parasite morphotypes found per individual), the multiple infection (presence of more than one parasite morphotype), and the overall parasite prevalence (presence of at least one parasite morphotype).

The data used to assess the link between semi-annual survival rates and HCC includes the results of capture sessions held in October 2012, 2013, 2014, April 2013, and March 2014, during which a total of 171 individuals (74 females, 97 males) were captured. The same dataset, excluding the October 2014 session, was used to assess the effect of SMI on semi-annual survival probabilities, for a total of 149 individuals (63 females, 86 males). The dataset used for the CJS models includes data collected during monthly trapping sessions between September 2012 and April 2013, for a total of 48 individuals (16 females, 32 males).

All research activities conducted in Madagascar received official approval from the Ministère de l´Environnement, de l´Ecologie, and de la Mer et des Forêts, and comply with national animal care legislation of Madagascar.

Funding

Deutscher Akademischer Austauschdienst (A/12/90426) and Deutsche Forschungsgemeinschaft (KR 3834/4-1)

History

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