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Heterogeneity across studies concerned many features, including studied populations, events considered, causality assessment methods, definitions of preventability and severity.
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To infer demographic history is to estimate population events in the past with population data at present.
Demographic history is the population events in the past, while the genetic diversity data available is contemporary.
This study describes an approach which combines tephra records with archaeological and contextual data in order to propose best fit scenarios for past cultural changes and population events.
This illustrates very well one of the main methodological problems discussed by Blench et al. (2008), the fact that genetic tree nodes do not correspond to identifiable events in population history, and are generally older than population events.
Therefore, pathogens spread is the result of the complex interplay between intra-population events and inter-population interactions.
Our results highlight the urge for cautiousness when predicting the future concerning probabilities for extreme population events.
The frequency of periods with warm enough periods will also affect the probability for extreme population events.
However, our ability to judge whether extreme population events will become more frequent in the future depends on how well key processes in population dynamics are understood.
It is anticipated that extreme population events, such as extinctions and outbreaks, will become more frequent as a consequence of climate change.
While these inhibitory events would be expected to reduce the probability of discharges and thus the production of population events, fast IPSCs are too brief to account for the >200 ms delays that typically separate SPWs.
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