This code is designed to combine several data sets in order to predict the impact of climate change on a key grassland species in two national grasslands: Sheyenne National Grassland and Little Missouri Grassland
The goal of the project is to create a habitat suitability model for Yellow Indian Grass (Sorghastrum Nutans).In particular, the model should determine if the selected grassland will be suitable habitats for this grass in the future.
** Notebooks
The project is broken into several notebooks:
- Notebook #0 - Introduction to the project, data selection, and justification for the selection of grasslands and other variables
- Notebook #1 - Grassland selection (called Habitat1 and Habitat2) Data Source: USFS National Grassland Units
- Notebook #2 - Soil variable - where to find the soil data, select a variable, and download and process it Data Source: POLARIS Dataset
- Notebook #3 - Elevation data - Getting elevation data and overlaying that on the respective habitats Data Source: earthaccess API - you will need to login
- Notebook #4 - Climate data - selecting two climate scenarios and applying them to your habitats Data Source: MACAv2 THREDDS Data Server
- Notebook #5 - Harmonize Data - make sure the grids for each layer match up
- Notebook #6 - Building a fuzzy logic model