Old sheep raising the baaa
Oldest sheep make larger contributions to population growth when conditions are harsh. Credit: Owen Jones
Dr. Thomas Ezard, lead author of the study, revealed, "When times are good and food is plentiful, lambs contribute almost twice as much to changes in population size than when times are hard. On the flip side, the oldest sheep contribute most to population growth when conditions are harsh." The work, published in the September issue of The American Naturalist, suggests that the dynamics of populations are influenced not only by the weather but also by the ability of individuals to respond to it.
New mathematical breakthroughs have made it possible to show how environmental change affects populations, like these sheep. The key is appreciating (1) how weather affects individual sheep and (2) how the weather changes from one year to the next. If consecutive years have similar weather, the dynamics of the population will be very different than if conditions are unrelated from one year to the next.
Professor Tim Coulson concluded, "A thorough understanding of the likely effects of climate change on the ecology of wild populations requires linking populations to their environment. This demands application of innovative mathematical methods, as used here."
Citation: Thomas H. G. Ezard, Jean-Michel Gaillard, Michael J. Crawley, and Tim Coulson, "Habitat Dependence and Correlations between Elasticities of Long-Term Growth Rates." American Naturalist (2008) 172:424-430.
Source: University of Chicago
Professor Tim Coulson concluded, "A thorough understanding of the likely effects of climate change on the ecology of wild populations requires linking populations to their environment. This demands application of innovative mathematical methods, as used here."
Citation: Thomas H. G. Ezard, Jean-Michel Gaillard, Michael J. Crawley, and Tim Coulson, "Habitat Dependence and Correlations between Elasticities of Long-Term Growth Rates." American Naturalist (2008) 172:424-430.
Source: University of Chicago
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