title: Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape?
abstract: Greater sage-grouse populations have decreased steadily since European settlement in western North America. Reduced availability of brood-rearing habitat has been identified as a limiting factor for many populations. We used radio-telemetry to acquire locations of sage-grouse broods from 1998 to 2012 in Strawberry Valley, Utah. Using these locations and remotely-sensed NAIP (National Agricultural Imagery Program) imagery, we 1) determined which characteristics of brood-rearing habitat could be used in widely available, high resolution imagery 2) assessed the spatial extent at which sage-grouse selected brood-rearing habitat, and 3) created a predictive habitat model to identify areas of preferred brood-rearing habitat. We used AIC model selection to evaluate support for a list of variables derived from remotely-sensed imagery. We examined the relationship of these explanatory variables at three spatial extents (45, 200, and 795 meter radii). Our top model included 10 variables (percent shrub, percent grass, percent tree, percent paved road, percent riparian, meters of sage/tree edge, meters of riparian/tree edge, distance to tree, distance to transmission lines, and distance to permanent structures). Variables from each spatial extent were represented in our top model with the majority being associated with the larger (795 meter) spatial extent. When applied to our study area, our top model predicted 75% of naïve brood locations suggesting reasonable success using this method and widely available NAIP imagery. We encourage application of our methodology to other sage-grouse populations and species of conservation concern.
authors.affiliation: Department of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
authors.forename: Matthew
authors.initials: M
authors.lastname: Westover
authors.affiliation: Department of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
authors.forename: Jared
authors.initials: J
authors.lastname: Baxter
authors.affiliation: Department of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
authors.forename: Rick
authors.initials: R
authors.lastname: Baxter
authors.affiliation: Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, United States of America.
authors.forename: Casey
authors.initials: C
authors.lastname: Day
authors.affiliation: Geography Department, Brigham Young University, Provo, Utah, United States of America.
authors.forename: Ryan
authors.initials: R
authors.lastname: Jensen
authors.affiliation: Department of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
authors.forename: Steve
authors.initials: S
authors.lastname: Petersen
authors.affiliation: Department of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.|Monte L. Bean Life Sciences Museum, Brigham Young University, Provo, Utah, United States of America.
authors.forename: Randy
authors.initials: R
authors.lastname: Larsen
mesh_terms: D000818:Animals; D003247:Conservation of Natural Resources / Q000379:methods*; D017753:Ecosystem; D046094:Galliformes / Q000502:physiology*; D008954:Models, Biological; D008962:Models, Theoretical; D009656:North America; D011157:Population Dynamics; D058998:Remote Sensing Technology / Q000379:methods*