Title:

Using IPMs To Model Tree Growth In The White Mountain National Forest

The ecologist replies on a statistical model to get the prediction of certain species changes over time. In one way, these models can help to protect the species in the long run. On the other way, it also can destroy the distribution of the species due to the unstableness of the model. The key that determines its result is accuracy. Getting the precise predicted accuracy is always a challenge using the traditional model, many existing models will become more and more unreliable as the main forest management tool to ensure sustainable harvesting. In this project, we developed a model that predicts the growth rate and death rate by using IPMs and Bootstrap. the model applied base on the white mountain national forest, and all the data we were used in this project is from the USDA Forest Service Inventory and Analysis. Our focuses in this project are Red Maple, American Beech, Red Spruce, White Pine. The outcomes of this model are 1) the average growth rate of Red Maple is 67% and 2) the average growth rate of American Beech is 72%. 3) the average growth rate of Red Spruce is 65% 4) the average growth rate of White Pine is 63%.

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