We used murrelet occupancy data collected by the Bureau of Land Management Coos Bay District and canopy metrics calculated from discrete return airborne LiDAR data to fit a logistic regression model predicting the probability of occupancy. Our final model for stand-level occupancy included distance to coast and 5 LiDAR-derived variables describing canopy structure. This dataset is a shapefile of forest stands in the Coos Bay district representing the model results.
Citation Information
| Publication Year | 2023 |
|---|---|
| Title | Forest stands and LiDAR derived model estimates of marbled murrelet (Brachyramphus marmoratus) occupancy in the Coos Bay BLM District, Southwestern Oregon |
| DOI | 10.5066/P9ONYT0B |
| Authors | Joan Hagar, Bianca N. I. Eskelson, Patricia Haggerty, S. Kim Nelson, David G. Vesely |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Forest and Rangeland Ecosystem Science Center |