Prioritizing catchments for native freshwater mussel conservation in the Northeastern United States
This software contains two separate R Markdown files that comprise an analysis to:
1.) Build and test MaxEnt models predicting the distribution of twelve species of native freshwater mussels in the Six North-Eastern most U.S. states. We generate models with beta multipliers 1-15 and identify optimal models using the dismo package, maxent.jar, and ENMeval.
2.) Using the species distributions models generated in 1 (above), this code serves to
a) Build maps of predicted species distributions
b) Predict the distribution of species richness (both overall richness and richness of species of RSGCN concern) and create maps displaying that information
c) Clean imported GIS shape files of project land use change, percent protected land, etc. and combine metrics to create prioritization schemes. Generate maps displaying those schemes.
Citation Information
| Publication Year | 2025 |
|---|---|
| Title | Prioritizing catchments for native freshwater mussel conservation in the Northeastern United States |
| DOI | 10.5066/P1ZZQSQR |
| Authors | Rebecca O'Brien, Jason Carmignani, Graziella V Direnzo, Rebecca Quinones, Allison Roy |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Cooperative Research Units Program |
| Rights | This work is marked with CC0 1.0 Universal |