Uncertainty4

Uncertainty is not knowing. The world is very complex and scientific models and technology can only make sense of the world to a certain degree. There are many variables to consider of an ecosystem such as land, air water and biota which are all interconnecting parts. The challenge of trying to understand the complexity of the world and the interconnectedness of it contributes to uncertainty in decision making. Uncertainty in the Banff Case study is trying to determine/predict what the exact consequences on the ecosystem and animals is from the buildings/roads/people development of the park, if there is any consequences at all. Particularly with the larger animals having large ranges as they migrate across the landscape which makes the uncertainty of how the humanization of the park affects them. It is hard to understand exactly how human impact on this habitat affects it because there are too many variables to take into consideration. Scientific data is uncertain, like the current pop of grizzly bears in the park is unknown. Uncertainty makes the animals in the park at high risk. Risk means that the system is not understood enough and therefore the uncertainty of the system is high and predictability of the system is low.