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Demographic models and IPCC climate projections predict the decline of an emperor penguin population

Studies have reported important effects of recent climate change on Antarctic species, but there has been to our knowledge no attempt to explicitly link those results to forecasted population responses to climate change. Antarctic sea ice extent (SIE) is projected to shrink as concentrations of atmospheric greenhouse gases (GHGs) increase, and emperor penguins ( Aptenodytes forsteri ) are extremely sensitive to these changes because they use sea ice as a breeding, foraging and molting habitat. We project emperor penguin population responses to future sea ice changes, using a stochastic population model that combines a unique long-term demographic dataset (1962–2005) from a colony in Terre Adélie, Antarctica and projections of SIE from General Circulation Models (GCM) of Earth's climate included in the most recent Intergovernmental Panel on Climate Change (IPCC) assessment report. We show that the increased frequency of warm events associated with projected decreases in SIE will reduce the population viability. The probability of quasi-extinction (a decline of 95% or more) is at least 36% by 2100. The median population size is projected to decline from ≈6,000 to ≈400 breeding pairs over this period. To avoid extinction, emperor penguins will have to adapt, migrate or change the timing of their growth stages. However, given the future projected increases in GHGs and its effect on Antarctic climate, evolution or migration seem unlikely for such long lived species at the remote southern end of the Earth.
- French Institute for Research in Computer Science and Automation France
- University Corporation for Atmospheric Research United States
- Institut Écologie et Environnement France
- National Snow and Ice Data Center (NSIDC), Boulder, CO, USA United States
- National Snow and Ice Data Center (NSIDC), Boulder, CO, USA United States
Greenhouse Effect, [SDE.MCG]Environmental Sciences/Global Changes, Climate, Antarctic Regions, Breeding, Extinction, Biological, Models, Biological, [SDE.ES] Environmental Sciences/Environment and Society, Animals, Probability, Population Density, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, bird populations, stochastic matrix population models, [SDE.ES]Environmental Sciences/Environmental and Society, quasi-extinction, Spheniscidae, sea ice, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [ SDE.MCG ] Environmental Sciences/Global Changes, [SDE.MCG] Environmental Sciences/Global Changes, climate change, Animal Migration, [SDE.ES] Environmental Sciences/Environmental and Society, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [ SDE.ES ] Environmental Sciences/Environmental and Society, Forecasting
Greenhouse Effect, [SDE.MCG]Environmental Sciences/Global Changes, Climate, Antarctic Regions, Breeding, Extinction, Biological, Models, Biological, [SDE.ES] Environmental Sciences/Environment and Society, Animals, Probability, Population Density, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, bird populations, stochastic matrix population models, [SDE.ES]Environmental Sciences/Environmental and Society, quasi-extinction, Spheniscidae, sea ice, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [ SDE.MCG ] Environmental Sciences/Global Changes, [SDE.MCG] Environmental Sciences/Global Changes, climate change, Animal Migration, [SDE.ES] Environmental Sciences/Environmental and Society, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [ SDE.ES ] Environmental Sciences/Environmental and Society, Forecasting
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).195 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
