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Potential productivity and change for big bluestem in the Great Plains Landscape Conservation Cooperative area

Dates

Publication Date
Start Date
1981
End Date
2045

Citation

Manier, D., Carr, N.B., Reese, G.C., and Burris, L.E., 2019, Potential productivity and change estimates for eight grassland species to evaluate vulnerability to climate change in the southern Great Plains: U.S. Geological Survey data release, https://doi.org/10.5066/P9DGJHEP.

Summary

This data set includes the relative production scenarios for big bluestem [3.08(Temp) -0.41(Precip)+0.14(Silt) - 0.16(Temp)^2 -31.9]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier [...]

Contacts

Attached Files

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Extension: ange_combined_GPLCC.zip
ange_combined_GPLCC.tfw 98 Bytes
ange_combined_GPLCC.tif 262.54 KB
ange_combined_GPLCC.tif.aux.xml 160.11 KB
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ange_combined_GPLCC.tif.vat.dbf 78.54 KB
ange_combined_GPLCC.tif.xml
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43.82 KB
ange_combined_GPLCC3.tif.vat.cpg 5 Bytes
ange_combined_GPLCC.tif-ColorRamp.SLD 2.07 KB

Purpose

To address this priority information need for multiple stakeholders, we evaluated the potential vulnerability of four grassland communities (shortgrass, mixed-grass, and tallgrass prairies, and semiarid grasslands) using four climate change scenarios (representing hotter-drier, hotter-wetter, warmer-drier, and warmer-wetter conditions, relative to contemporary conditions) in the GPLCC region. The climate scenarios are not predictions of the future, but demonstrate potential conditions based on complicated global climate models. As such, the projections of relative production and potential change in relative production should be interpreted similarly, as model results that provide insights to potential future conditions, and not as predictions of the future.

Additional Information

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