Count and detection-nondetection survey data of barred owls (Strix varia) in historical breeding territories of Northern Spotted Owls (Strix occidentalis caurina) in the Oregon Coast Range, 1995-2016
August 30, 2017
This dataset contains count and detection-nondetection data of Barred Owls from 106 historical breeding territories of Northern Spotted Owl territories (i.e. sites) in the Oregon Coast Ranges from 1995 to 2016. Data collected from 1995 to 2014 are partitioned into 2-week periods from 1 March - 31 August each year, totaling 12 possible sampling periods per year. Data collected from 2015 and 2016 are partitioned into 2-month periods from 1 March - 31 August, totaling 3 possible sampling periods each year. This dataset also describes the proportion of total area surveyed per site per sampling period in 2015 and 2016, as well as the proportion of each site with older coniferous forest in each year (1995 - 2016).
Citation Information
| Publication Year | 2017 |
|---|---|
| Title | Count and detection-nondetection survey data of barred owls (Strix varia) in historical breeding territories of Northern Spotted Owls (Strix occidentalis caurina) in the Oregon Coast Range, 1995-2016 |
| DOI | 10.5066/F7348J9M |
| Authors | Elise F. Zipkin, Sam Rossman, Charles B Yackulic, David Wiens, James T. Thorson, Raymond J. Davis, Evan H Grant |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Forest and Rangeland Ecosystem Science Center (FRESC) Headquarters |
Related Content
Integrating count and detection–nondetection data to model population dynamics
There is increasing need for methods that integrate multiple data types into a single analytical framework as the spatial and temporal scale of ecological research expands. Current work on this topic primarily focuses on combining capture–recapture data from marked individuals with other data types into integrated population models. Yet, studies of species distributions and trends often rely on da
Authors
Elise F. Zipkin, Sam Rossman, Charles B. Yackulic, David Wiens, James T. Thorson, Raymond J. Davis, Evan H. Campbell Grant
Charles B Yackulic, Ph.D.
Research Statistician
Research Statistician
Email
Phone
J David Wiens
Supervisory Research Wildlife Biologist
Supervisory Research Wildlife Biologist
Email
Phone
Evan Grant, Ph.D.
Research Wildlife Biologist
Research Wildlife Biologist
Email
Phone
Charles B Yackulic, Ph.D.
Research Statistician
Research Statistician
Email
Phone
J David Wiens
Supervisory Research Wildlife Biologist
Supervisory Research Wildlife Biologist
Email
Phone
Evan Grant, Ph.D.
Research Wildlife Biologist
Research Wildlife Biologist
Email
Phone
Related Content
Integrating count and detection–nondetection data to model population dynamics
There is increasing need for methods that integrate multiple data types into a single analytical framework as the spatial and temporal scale of ecological research expands. Current work on this topic primarily focuses on combining capture–recapture data from marked individuals with other data types into integrated population models. Yet, studies of species distributions and trends often rely on da
Authors
Elise F. Zipkin, Sam Rossman, Charles B. Yackulic, David Wiens, James T. Thorson, Raymond J. Davis, Evan H. Campbell Grant
Charles B Yackulic, Ph.D.
Research Statistician
Research Statistician
Email
Phone
J David Wiens
Supervisory Research Wildlife Biologist
Supervisory Research Wildlife Biologist
Email
Phone
Evan Grant, Ph.D.
Research Wildlife Biologist
Research Wildlife Biologist
Email
Phone
Charles B Yackulic, Ph.D.
Research Statistician
Research Statistician
Email
Phone
J David Wiens
Supervisory Research Wildlife Biologist
Supervisory Research Wildlife Biologist
Email
Phone
Evan Grant, Ph.D.
Research Wildlife Biologist
Research Wildlife Biologist
Email
Phone