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Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods

Dates

Publication Date
Start Date
2020-01-01
End Date
2085-01-01

Citation

Rigge, M., Postma, K., and Bunde, B., 2024, Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods: U.S. Geological Survey data release, https://doi.org/10.5066/P134RA6V.

Summary

Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2023 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate the ramifications of future change across the western US, we extended models based on historical relationships over the reference period to model landscape effects based on future weather conditions from two emissions scenarios (Representative [...]

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Purpose

We use USGS RCMAP fractional component cover data for rangeland functional groups (sagebrush, shrub, herbaceous, annual herbaceous, litter, tree, and bare ground, Rigge et al. 2024) and climate data from 1985 to 2023 in conjunction with soils (ISRIC – World Soil Information) and topography data to develop models describing the empirical spatio-temporal variation in cover across the sagebrush biome of the Western U.S (Rigge et al. 2021). Our primary objective is to apply the models developed over the 1985-2023 reference period to future climate conditions based on two emissions scenarios (Representative Concentration Pathways [RCP] 4.5 and 8.5) and three time periods (2020s, 2050s, and 2080s) (AdaptWest Project. 2022) to evaluate change in functional group abundance within the respective range of each across an unprecedented extent. The RCP climate projections represent the average of 15 models (CanESM2, ACCESS1.0, IPSL-CM5A-MR, MIROC5, MPI-ESM-LR, CCSM4, HadGEM2-ES, CNRM-CM5, CSIRO Mk 3.6, GFDL-CM3, INM-CM4, MRI-CGCM3, MIROC-ESM, CESM1-CAM5, GISS-E2R). We then model component cover under these scenarios and evaluate spatial and temporal patterns of change relative to the reference period. The projections can be used to inform management to prepare for future vegetation composition and cover through the prioritization of conservation and restoration and shed light on species range shifts.

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P134RA6V

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