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Forecasted greater sage-grouse conservation using novel mitigation

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DataCite Commons2026-05-15 更新2026-05-17 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.r7sqv9ssn
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A common Intermountain West US land management challenge is the conservation of declining greater sage-grouse (GSG) populations amid development pressures in sagebrush shrublands on public lands. High-quality compensatory mitigation (or “offsets”) is an important tool for conservation where impacts are not otherwise being avoided, such as in mine development. We tested whether a compensatory mitigation bank for GSG coupled with public lands policy innovations was feasible in arid shrublands with decadal succession and high failure rates for seedings. Vegetation change and the associated change of GSG per-capita population growth rate (λ) due to proposed vegetation treatments were modelled on a 218,049-ha central Nevada landscape. Using remote-sensed vegetation rasters and spatial state-and-transition simulation models (STSM) coupled with a demographic GSG model, we compared the effects of proposed vegetation treatments (uplift scenario) to baseline (control) actions on a net gain of λ in sagebrush shrublands and wet meadows across public and private lands. Dominant treatments separated into thinning conifers encroaching shrublands and seeding in shrublands dominated by non-native annual species after past fires. Smaller treatments were used in wet meadows, which are critical GSG late-brood rearing vegetation. The primary data components were, therefore, vegetation remote sensing, spatial state-and-transition simulation models with many input raster that provide initial conditions and spatial constraints imposed on natural and management-caused disturbances, and a greater sage-grouse demographic habitat suitability model with its associated input rasters and lookup tables. The landscape-wide average λ was 0.74230 at the project’s onset in 2014. The average λ between scenarios was 0.71653 and 0.72289, respectively, for the baseline and uplift scenarios after 35 years of simulations. The significant λ differences between scenarios and innovative science and policies enabled the parties of the mitigation bank to consider future credit releases based on implemented and monitored aridland restoration actions conducted on private and public aridlands.
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Dryad
创建时间:
2026-05-15
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