#soilcarboncycling — Public Fediverse posts

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

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

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

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

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

Reanalysis of linear relationship between soil water content and heterotrophic respiration still holds 25 years later. The original highly cited paper shows that you can new quite anticipate how your work will be used in the future and data-regret from not archiving your studies (published or not) can be strong. Cook and Orchard 2008 https://doi.org/10.1016/j.soilbio.2007.12.012 #HowToScience #SoilCarbonCycling #LandCarbonModel #SciLit

Reanalysis of linear relationship between soil water content and hetertrophic respiration still holds 25 years later. The orginal highly cited paper shows that you can new quite anticipate how your work will be used in the future and data-regret from not acrhiving your studies (published or not) can be strong. Cook and Orchard 2007 https://doi.org/10.1016/j.soilbio.2007.12.012 #HowToScience #SoilCarbonCycling #LandCarbonModel