2016
DOI: 10.1073/pnas.1606898113
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Wildfire, climate, and invasive grass interactions negatively impact an indicator species by reshaping sagebrush ecosystems

Abstract: Iconic sagebrush ecosystems of the American West are threatened by larger and more frequent wildfires that can kill sagebrush and facilitate invasion by annual grasses, creating a cycle that alters sagebrush ecosystem recovery post disturbance. Thwarting this accelerated grass–fire cycle is at the forefront of current national conservation efforts, yet its impacts on wildlife populations inhabiting these ecosystems have not been quantified rigorously. Within a Bayesian framework, we modeled 30 y of wildfire an… Show more

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Cited by 151 publications
(194 citation statements)
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“…This continued use of the landscape affected by the Holloway fire appeared to have an acute fitness cost in terms of daily nest survival and adult survival during the first 2 years post‐fire. Thus, reduced vital rates likely contribute to observed declines in sage‐grouse population trend following wildfire (Coates et al ).…”
Section: Discussionmentioning
confidence: 99%
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“…This continued use of the landscape affected by the Holloway fire appeared to have an acute fitness cost in terms of daily nest survival and adult survival during the first 2 years post‐fire. Thus, reduced vital rates likely contribute to observed declines in sage‐grouse population trend following wildfire (Coates et al ).…”
Section: Discussionmentioning
confidence: 99%
“…This dependence on sagebrush is acute during the nesting period (Connelly et al ), with most nests located under sagebrush shrubs (Patterson , Popham and Gutiérrez , Connelly et al ). Thus, removal of sagebrush at broad scales can affect vital rates and population persistence (Swenson et al , Coates et al ).…”
mentioning
confidence: 99%
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“…The anthropogenic influence index can also be used to identify areas where targeted management actions, particularly those that reduce access to resource subsidies, could be most effective. To explore this concept, we provide an applied example using existing information about spatial variation in sage‐grouse habitat suitability and breeding populations within our study area (sage‐grouse concentration areas; Coates, Ricca, et al., ; Doherty et al., ). First, we reclassified predicted raven occurrence into four classes (low to high probability).…”
Section: Methodsmentioning
confidence: 99%
“…First, we reclassified predicted raven occurrence into four classes (low to high probability). We then intersected these classes with sage‐grouse concentration areas (available in Coates, Ricca, et al., ) to obtain a relative index of the potential for ravens to impact breeding sage‐grouse populations. We sought to identify regions within sage‐grouse concentration areas where (A) raven mitigation actions would be best suited to sage‐grouse habitat improvements (e.g., raven occurrence driven primarily by natural effects), as opposed to (B), areas where management actions could effectively target anthropogenic subsidies (e.g., raven occurrence strongly influenced by anthropogenic effects).…”
Section: Methodsmentioning
confidence: 99%