A research team is investigating competing models of ecosystem recovery after a wildfire. Model A predicts a linear, sequential return of species. Model B predicts multiple, variable pathways for recovery dependent on initial post-fire conditions. The team observes that in five different burn sites, three sites follow the pattern of Model A, but two sites with unusually high rainfall show a completely different and accelerated recovery pattern not predicted by either model. How should a scientist treat this unexpected evidence when constructing an argument?
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A
Discard the data from the two outlier sites as they do not fit the established models and were likely subject to anomalous conditions.
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B
Average the results from all five sites to determine which of the original two models is better supported overall.
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C
Acknowledge that both models are flawed and that the evidence from the high-rainfall sites necessitates the development of a new, more comprehensive model.
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D
Selectively use the data from the three sites that support Model A to argue for its validity, and suggest the other two sites for a separate study.