Breadcrumb
Using Ecological Niche Models to Predict the Distribution of Plant Species Through the Use of Python Programming
Presentation Year
2019
College or Department
College of Natural Resources & Sciences
Short Description of your Research or Creative Project (700 characters or less)
Understanding the potential locations of where plant species will thrive is a fundamental necessity for
resource managers who are concerned with controlling invasive species as well as promoting
endangered ones. This study examines the credibility and usage of predicting ecological niche models
developed through a Python program which uses in-situ data for counties within California (primarily
climatic, elevation, and slope data). We tested its validity to predict the distribution of invasive species
of plants by using an easily identifiable species known as Cortaderia selloana (Pampas Grass) with initial
findings indicating an extremely high degree of success (well over 90% overlap).
resource managers who are concerned with controlling invasive species as well as promoting
endangered ones. This study examines the credibility and usage of predicting ecological niche models
developed through a Python program which uses in-situ data for counties within California (primarily
climatic, elevation, and slope data). We tested its validity to predict the distribution of invasive species
of plants by using an easily identifiable species known as Cortaderia selloana (Pampas Grass) with initial
findings indicating an extremely high degree of success (well over 90% overlap).
Permission to Publish Work
No