Greater sage-grouse resource selection drives reproductive fitness under a conifer removal strategy
resource selection function
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CitationSandford, C. P., Kohl, M. T., Messmer, T. A., Dahlgren, D. K., Cook, A., & Wing, B. R. (2017). Greater sage-grouse resource selection drives reproductive fitness under a conifer removal strategy. Rangeland Ecology & Management, 70(1), 59–67.
PublisherSociety for Range Management
JournalRangeland Ecology & Management
AbstractThe link between individual variation in resource selection (e.g., functional response) and fitness creates a foundation for understanding wildlife-habitat relationships. Although many anthropogenic activities adversely affect these relationships, it is largely unknownwhether projects implemented to benefit wildlife populations actually achieve this outcome. For sagebrush (Artemisia spp.) obligate species such as the greater sage-grouse (Centrocercus urophasianus; sage-grouse), expansion of juniper (Juniperus spp.) and pinyon-pine (Pinus spp.; conifers) woodlands into sagebrush ecosystems has been identified as a conservation threat. This threat is intensifiedwhen a sagebrush ecosystemis bounded by naturally unsuitable habitats. As such, federal, state, and private land managers have implemented landscape-level management to remove conifers on thousands of hectares of sagebrush habitat across the western United States. Despite the scale of contemporary conifer treatments, little was previously known whether sage-grouse will occupy these manipulated landscapes and whether occupancy has consequences on fitness components. To address these questions,we monitored nest and brood success rates for 96 radio-marked sage-grouse from 2012-2015 that inhabited conifer-dominated landscapes in the Box Elder Sage-grouse Management Area in Utah where mechanical conifer removal projects were completed. We then linked sage-grouse resource selection to individual nest (n= 95) and brood (n= 56) success by incorporating random-slope Resource Selection Functions as explanatory predictors in a logistic brood successmodel. Using the novel approach of random slope covariates, we demonstrated that sage-grouse selected for nest and brooding sites closer to conifer removal areas and that the probability of individual nest and brood success declined (β = -0.10 and β = -0.74, respectively) as sage-grouse females selected sites farther from conifer removal areas. Our research provided the first evidence thatmechanical conifer removal treatments can increase suitable available breeding habitats for female sage-grouse and that individuals who occupied these areas experienced enhanced nest and brood success.
Except where otherwise noted, this item's license is described as © 2017 The Authors. Published by Elsevier Inc. on behalf of The Society for Range Management. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).