Predicting biological conditions for small headwater streams in the Chesapeake Bay watershed
December 1, 2018
A primary goal for Chesapeake Bay watershed restoration is to improve stream health and function in 10% of stream miles by 2025. Predictive spatial modeling of stream conditions, when accurate, is one method to fill gaps in monitoring coverage and estimate baseline conditions for restoration goals. Predictive modeling can also monitor progress as additional data become available. We developed a random forests model to predict biological condition of small streams (
Citation Information
| Publication Year | 2018 |
|---|---|
| Title | Predicting biological conditions for small headwater streams in the Chesapeake Bay watershed |
| DOI | 10.1086/700701 |
| Authors | Kelly O. Maloney, Zachary M. Smith, Claire Buchanan, Andrea Nagel, John A. Young |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Freshwater Science |
| Index ID | 70202698 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Leetown Science Center |