The Caribou and Land Use Simulator (CLUS) is a spatial, large-scale analytical model for simulating forest harvest and it's potential influence on other forest values (e.g., wildlife habitat). More details on the CLUS model can be found here.
The CLUS Explorer Application was designed to visualize and describe outputs from the CLUS model. When using the CLUS model to analyze a forest harvest scenario, you can access the application to compare and contrast the outcomes for various forest values (e.g., timber supply, caribou habitat, etc.).
We've developed a Wiki page to help you with understanding the structure and functions of the CLUS model. We are also working on a tutorial that will describe the steps to get a basic CLUS model up and running.
If you find any errors with the code, please submit them via the github "Issues" tab.
For more information on working with the CLUS team to use the CLUS model for a forest management problem, please contact Tyler Muhly (tyler.muhly@gov.bc.ca), Acting Team Lead, Strategic Analysis, Forest Analysis and Inventory Branch, Office of the Chief Forester, Ministry of Forests, Lands, Natural Resource Operations and Rural Development.
Tyler Muhly, Team Lead, Strategic Analysis, Forest Analysis and Inventory Branch, Office of the Chief Forester, Ministry of Forests, Lands, Natural Resource Operations and Rural Development
Kyle Lochhead, Ecological Modeling Specialist, Forest Analysis and Inventory Branch, Office of the Chief Forester, Ministry of Forests, Lands, Natural Resource Operations and Rural Development
Elizabeth Kleynhans, Ecological Modeling Specialist, Forest Analysis and Inventory Branch, Office of the Chief Forester, Ministry of Forests, Lands, Natural Resource Operations and Rural Development
Sasha Bogdanovic, Ruby Industries Inc.
The model is coded using the R programming language. Thus, you will need to download program R to work with the code. We also recommend downloading the free version of RStudio, which provides a nice integrated development environment for working with R.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
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