#soilcarbonmodel — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #soilcarbonmodel, aggregated by home.social.
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Greenhouse gas drawdown potential for the continental United States under shifting agricultural practices could contribute roughly ~15% reduction in the carbon emissions of agricultural industry in the US. There are a large number of assumptions and a more detailed uncertainty analysis is needed. Moore etal 2022 https://doi.org/10.2489/jswc.2023.00132
#agricultural #SoilPractices #Upscaling #SoilCarbonModel #SciLit
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Greenhouse gas drawdown potential for the continental United States under shifting agricultural practices could contribute roughly ~15% reduction in the carbon emissions of agricultural industry in the US. There are a large number of assumptions and a more detailed uncertainty analysis is needed. Moore etal 2022 https://doi.org/10.2489/jswc.2023.00132
#agricultural #SoilPractices #Upscaling #SoilCarbonModel #SciLit
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Greenhouse gas drawdown potential for the continental United States under shifting agricultural practices could contribute roughly ~15% reduction in the carbon emissions of agricultural industry in the US. There are a large number of assumptions and a more detailed uncertainty analysis is needed. Moore etal 2022 https://doi.org/10.2489/jswc.2023.00132
#agricultural #SoilPractices #Upscaling #SoilCarbonModel #SciLit
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Greenhouse gas drawdown potential for the continental United States under shifting agricultural practices could contribute roughly ~15% reduction in the carbon emissions of agricultural industry in the US. There are a large number of assumptions and a more detailed uncertainty analysis is needed. Moore etal 2022 https://doi.org/10.2489/jswc.2023.00132
#agricultural #SoilPractices #Upscaling #SoilCarbonModel #SciLit
-
Greenhouse gas drawdown potential for the continental United States under shifting agricultural practices could contribute roughly ~15% reduction in the carbon emissions of agricultural industry in the US. There are a large number of assumptions and a more detailed uncertainty analysis is needed. Moore etal 2022 https://doi.org/10.2489/jswc.2023.00132
#agricultural #SoilPractices #Upscaling #SoilCarbonModel #SciLit
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Models are the bridge between theory and data. With new omics and other tools being increasing applied to soil carbon cycling, how well are our models making this connection? Schimel 2023 https://doi.org/10.1016/j.soilbio.2023.108948 concludes that microbial explicit models are still, very much, in the development phase and outlines why this is a hard problem. #SoilCarbonModel #MicrobialEcology #SoilBGC #SoilCarbonCycling #ReviewArticle #SciLit