Greater Sage-grouse brood-rearing female habitat data

Habitat selection analyses conducted at an individual level may reveal patterns in selection not apparent when individuals are pooled in population-level approaches. Using GPS transmitters that gather high-resolution location data, we explored fine-scale habitat selection and space use within home ranges of female greater sage-grouse (Centrocercus urophasianus) that raised young (brood-rearing sage-grouse) in an oil and gas development area. To evaluate fine-scale habitat selection of brood-rearing sage-grouse, we used a two-stage approach. First, we developed models for each individual (i.e., individual-level modeling) and evaluated individual-level responses to modified habitats and infrastructure. Second, we averaged individual-level estimates using a bootstrap approach to make population-level inference. The average home range size during brood-rearing, from nest hatch to six weeks, in our study were 0.85 ± 0.21 km2. Individual- and population-level results indicated that brood-rear..., Location and movement data came from GPS-transmitted female sage-grouse that were with chicks (brood-rearing). Spatial layers were created and/or processed using ArcGIS 10.7.0 – 10.7.1 (http://www.esri.com) and R statistical software (R Core Team 2020). Spatial varibles were extrated for use and pseudo-absence location using R statistical software (R Core Team 2020). , , **Data\_Kirol\_Fedy 2023\_Brood\_rearing\_sage\_grouse\_anthropogenic\_landscape**

This folder contains the data for the article:
Kirol and Fedy 2023 Using individual-based habitat selection analyses to understand the nuances of habitat use in an anthropogenic landscape: A case study using greater sage-grouse trying to raise young in an oil and gas field.

Comments and requests should be addressed to Chris Kirol: [e-mail]. Please let me know if you intend to use these data.

The data for this article is a .csv file titled \"Data\_wlb3.01111\_Kirol\_Fedy\_2023\"

We followed a use versus availability design. We used weighted Generalized Linear Models (GLM) to compare use locations with pseudo-absence locations for individual-level models for each brood-rearing sage-grouse. We generated available points (i.e., pseudo-absence) at a ratio of 20:1 to used points for each individual. We established available points within a specific availability domain for each individual. The avai...