In this lab we're going to try and figure out where the ungulates (cows) would hang out when left to their own devices. On many federal allotments the cows are largely left to their own devices. They get dropped off in early summer and picked up in the fall. Active management (e.g. fencing and hiring riders to keep them moving) can significantly change these patterns.
Given how hard we've been working you the past three labs, we're going to lighten the work-load of this lab (allow you to have a spring break). A major challenge in running these models is getting all your inputs together and in a consistent format. We've scaled back the scope of this lab. Instead of having you plow through the tedious task of finding, cleaning up, and processing your inputs, we are simply providing you with the correctly formatted inputs for running the model in Matlab. The trickiest thing you'll have to deal with is getting the ascii rasters to display properly in ArcGIS (something you should be an expert at by now - HINT - calculate statistics and change display properties).
- Gain experience running fuzzy logic model using common and familiar spatial datasets
- Exposure to Matlab
- Articulate a critical evaluation of model, methodology, and model outputs
Meets Course Learning Outcomes 3 & 5.
Overview of tasks
- Task 1 - Run an ungulate occupancy model for the Escalante Watershed
Create figures for each of the model inputs. Use the ascii to raster tool (see end of "Run the Model" section for details about this process).
- Description and justification of methods
- Figure(s) for each of the inputs
- Figure for output
- Description of results and critical evaluation of model and what it produces
Make sure your lab conforms to the general lab submission guidelines. Submit a URL for this lab's webpage.
- Ungulate Capacity Model from BRAT website - Same as your instructions on this site.
- MacFarlane WW and Wheaton JM. 2013. Modeling the Capacity of Riverscapes to Support Dam-Building Beaver - Case Study: Escalante River Watershed, Final Report Prepared for Grand Canyon Trust and the Walton Family Foundation, Logan, UT, 79 pp.
- Beaver Restoration Assessment Tool website - BRAT
- You could of course derive these inputs on your own for a different location, with nothing more than a DEM and LANDFIRE data.
- You could modify the
GrazingProb_3input.fisto change any of the following:
- Number and type of inputs
- The number and text description of categories (e.g. low, medium, high vs. just low and high)
- Calibrate input membership functions or output membership
- Change rule table that drives model
- Write your own model that instead of combining the inputs as we have here through a fuzzy inference system, score the inputs using habitat suitability curves (HSCs) and combine in to a global habitat suitability index (HSI). See here for examples of HSIs for many different species.