Team:British Columbia/Model2
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<b>OBJECTIVE:</b> </br>To predict the impact of the mountain pine beetle (MPB) epidemic on the lodgepole pinetree population in British Columbia (BC), we developed a mathematical model that describes | <b>OBJECTIVE:</b> </br>To predict the impact of the mountain pine beetle (MPB) epidemic on the lodgepole pinetree population in British Columbia (BC), we developed a mathematical model that describes | ||
the spread of the MPB population across BC from 1999-2010. We applied the model to simulate the spread | the spread of the MPB population across BC from 1999-2010. We applied the model to simulate the spread | ||
- | of the Mountain Pine Beetle (MPB) in the upcoming 10 years from | + | of the Mountain Pine Beetle (MPB) in the upcoming 10 years from 2011-2020 . Then, we used the model to predict key locations in BC where we may install the iSynthase “TrapBox” product to effectively control the MPB epidemic. Lastly, we propose a formula to estimate the cost required to implement a MPB control strategy. |
</br></br> | </br></br> |
Revision as of 08:47, 28 September 2011
MODEL 2: Dynamics of Mountain Pine Beetle Populations in British Columbia
Modeling the mountain pine beetle epidemic using a probabilistic clustering approach
OBJECTIVE: To predict the impact of the mountain pine beetle (MPB) epidemic on the lodgepole pinetree population in British Columbia (BC), we developed a mathematical model that describes
the spread of the MPB population across BC from 1999-2010. We applied the model to simulate the spread
of the Mountain Pine Beetle (MPB) in the upcoming 10 years from 2011-2020 . Then, we used the model to predict key locations in BC where we may install the iSynthase “TrapBox” product to effectively control the MPB epidemic. Lastly, we propose a formula to estimate the cost required to implement a MPB control strategy.
Model Creators: Jacob Toth, Joe Ho, Samuel Wu
Model Advisors: Shing Zhan
Model Coder: Samuel Wu
Download model methodology