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Climatic influence on demographic parameters of a tropical seabird varies with age and sex

In marine ecosystems climatic fluctuation and other physical variables greatly influence population dynamics, but differential effects of physical variables on the demographic parameters of the two sexes and different age classes are largely unexplored. We analyzed the effects of climate on the survival and recruitment of both sexes and several age classes of a long‐lived tropical seabird, the Blue‐footed Booby (Sula nebouxii), using long‐term observations on marked individuals. Results demonstrated a complex interaction between yearly fluctuations in climate (both local and global indexes, during both winter and breeding season) and the sex and age of individuals. Youngest birds' survival and recruitment were commonly affected by local climate, whereas oldest birds' parameters tended to be constant and less influenced by environmental variables. These results confirm the theoretical prediction that sex‐ and age‐related variation in life‐history demographic traits is greater under poor environmental conditions, and they highlight the importance of including variability in fitness components in demographic and evolutionary models. Males and females showed similar variation in survival but different recruitment patterns, in relation to both age and the spatial scale of climatic influence (local or global). Results indicate different life‐history tactics for each sex and different ages, with birds likely trying to maximize their fitness by responding to the environmental contingencies of each year.
Male, Aging, Tropical Climate, Climate, Climate Change, Population Dynamics, Blue-footed Booby, Seabird, Population dynamic, Sula nebouxii, Charadriiformes, Life-history traits, Capture–recapture modeling, Animals, Female, Ecosystem, Demography
Male, Aging, Tropical Climate, Climate, Climate Change, Population Dynamics, Blue-footed Booby, Seabird, Population dynamic, Sula nebouxii, Charadriiformes, Life-history traits, Capture–recapture modeling, Animals, Female, Ecosystem, Demography
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