Skip to main content
USGS - science for a changing world

Estimated Probabilities from Lidar Models for Marbled Murrelet (Brachyramphus marmoratus) Occupancy in Forest Vegetation Stands in the Siuslaw National Forest, Oregon

Dates

Publication Date
Start Date
1988-03-19
End Date
2016-08-04

Citation

Hagar, J.C., Haggerty, P.K., Aragon, R., Hollenbeck, J.P., and Nelson, S.K., 2018, Estimated probabilities from lidar models for marbled murrelet (Brachyramphus marmoratus) occupancy in forest vegetation stands in the Siuslaw National Forest, Oregon: U.S. Geological Survey data release, https://doi.org/10.5066/P9472SZW.

Summary

We developed a LiDAR-based habitat model for the threatened Marbled Murrelet (MAMU) in the Siuslaw National Forest, Oregon, using a two-step approach. First, we tested the applicability of the LiDAR-based model developed for the Coos Bay District of the Bureau of Land Management (BLM) to the Siuslaw N.F. In the second step, we tested alternative habitat models developed with forest structural data and Murrelet survey data from the Siuslaw N.F. We compared the performance of each model to provide forest managers with the best predictive tool to guide habitat management for the Marbled Murrelet. This shapefile contains the probability of Marbled Murrelet occupancy values of each model for vegetation polygons defined by the Siuslaw National [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

Estimated Probabilities from Lidar Models for Marbled Murrelet Occupancy.xml
Original FGDC Metadata

View
25.5 KB
SIUS_MAMU_Prob_R6ALBERS.zip 36.28 MB

Purpose

The goal of this project was to develop a model that can be used to accurately map Marbled Murrelet occupancy probability to facilitate the identification and monitoring of critical nesting habitat in the Siuslaw N.F on the central Oregon coast. Models developed at one location are unlikely to be generally applicable across the entire geographic range of a given species because relationships between habitat use and environmental conditions are spatially variable (Latif et al. 2016). However, the model predicting murrelet nesting habitat developed for the Coos Bay region (Hagar et al. 2014) performed surprisingly well when applied at a new location, in the Siuslaw NF. When parameterized with coefficients derived from local data, the model discriminated habitat as well at the new location (Siuslaw National Forest) as at the development location (Coos Bay BLM District).

Map

Communities

  • Forest and Rangeland Ecosystem Science Center (FRESC)
  • USGS Data Release Products

Tags

Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9472SZW

Item Actions

View Item as ...

Save Item as ...

View Item...