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A model to search for birth probabilities of mammal populations using fertility data

Authors
  • Moreira, JR.
  • Eagle, M.
  • Gillespie, OJ.
  • Davidson, A.
  • Marriott, FHC.
  • Macdonald, DW.
Publication Date
Nov 01, 2009
Source
Scientific Electronic Library Online - Brazil
Keywords
Language
English
License
Unknown
External links

Abstract

A model was constructed to predict monthly birth probabilities using mammalian fertility data. We used a sample of 147 female capybaras (Hydrochoerus hydrochaeris) hunted on a farm on Marajó Island, Brazil. In the model each month was treated as a multinomial with six cells representing the six possible reproductive states (five months gestation). A hypothesis test was carried out to see whether a cosine curve would fit the birth probabilities. The results offer no support for a seasonal component (F2,9 = 1.84, P = 0.21), whereas results from a direct census do (F3,23 = 87.29, P < 0.01). Some hunting techniques were biased towards killing pregnant females (χ(2)1= 7.2, P< 0.01), thereby spreading reproduction throughout the year (F2,9 = 1.84, P = 0.21). The model remained a powerful predictive tool to be used with mammalian fertility data as long as the data are not biased towards pregnant females.

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