#soilbgc — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #soilbgc, aggregated by home.social.
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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
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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
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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
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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
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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
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Parameter trade-offs present huge challenges in fitting soil carbon models both with classic first order decay and non-linear microbial explicit models. Sierra et al 2015 https://doi.org/10.1016/j.soilbio.2015.08.012 looked for parameter determination and recovering using incubation experiments and mass loss studies (gold standard for model fits). #SoilBGC #Models #DataScience #ModelDataIntegration #ParameterIdentifiability #SciLit
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Soil carbon estimates associated with #agricultural practice shifts need a portfolio approach to measurement, monitoring, and verification. But it is not a hopeless case and deeper data (on sample design, practice description, etc) can help. Bradford et al 2023 https://www.sciencedirect.com/science/article/pii/S0016706123003968 looked at high density (0.1 ha sample-1) sample collections from 45 fields to support power analysis for #SoilCarbon shift detection. #SoilBGC #DataScience #SoilSampleDesign #SciLit
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Coastal carbon data and tools to support blue carbon research and policy. Holmquist etal 2023 https://onlinelibrary.wiley.com/doi/10.1111/gcb.17098 #SoilBGC #BlueCarbon #SciLit #DataPaper 2/n
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#AGU23 Tang (LBNL): Carbon use efficiency of microbes through the lense of thermal efficiency. There is a relationship between cue and uptake rate that is often not represented but thermodynamically required. We need to be more careful as a community to preserve these trade-offs.
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#AGU23 Tang (LBNL): Carbon use efficiency of microbes through the lense of thermal efficiency. There is a relationship between cue and uptake rate that is often not represented but thermodynamically required. We need to be more careful as a community to preserve these trade-offs.
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#AGU23 Tang (LBNL): Carbon use efficiency of microbes through the lense of thermal efficiency. There is a relationship between cue and uptake rate that is often not represented but thermodynamically required. We need to be more careful as a community to preserve these trade-offs.
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#AGU23 Tang (LBNL): Carbon use efficiency of microbes through the lense of thermal efficiency. There is a relationship between cue and uptake rate that is often not represented but thermodynamically required. We need to be more careful as a community to preserve these trade-offs.
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#AGU23 Tang (LBNL): Carbon use efficiency of microbes through the lense of thermal efficiency. There is a relationship between cue and uptake rate that is often not represented but thermodynamically required. We need to be more careful as a community to preserve these trade-offs.
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#AGU23 Bloom (UFlorida): NWT Canada moving from Black Spruce to Jack Pine due to fire frequency. Pyrogenic carbon less susceptible to decay => model this! Was expecting pyrogenic carbon to compensate for fire driven losses. We saw losses in total carbon stocks across the board instead.
https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1288742
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Zhu (Iowa State U): Drainage of wetland prairie in Iowa led to ag land. How does drainage system (intensity & spacing) affect N2O in context of ag systems. Field flux measurements and depth flux measurements => fertilizer pulses N2O flux MUCH (x10+) bigger then freeze/thaw pulse + no drain increases N2O emissions. N2O in subsoil is inverse from surface emissions ? possibly due to microbial community anoxic conditions. Drainage reduces N2O emissions by 8 kg ha-1 yr-1.
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#AGU23 Torn (Berkley Lab): Soil temperature response persist over ~10yr of field warming. Whole soil 4C to 1m deep, working on year 10; does not warm plants. Monthly collar respiration. Seeing a 30% increase in warmed vs control plots w/ annual variation; hard to see trend. Expanded sites and saw similar trends => unlikely to be a legacy site effect.
#SoilBGC https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1265739
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#AGU23 Wood (USDA-FS): Field warming in tropical forest TRACE in Puerto Rico, (+4C, soil respiration auto-chambers). Slope significantly mattered (!!! 1 order of magnitude). First, convince ourselves high flux was real => Lots of work for a "Yep". Root biomass and respiration declined but biomass and heterotrophic respiration did increase even with declining Q10 in warmed plots. Need to move beyond Q10 for tropical warming.
#SoilBGC https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1342422
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#AGU23 McMillian (UToledo): All frozen soils are not equal. 3mth -2C and -6C incubation with respiration tracked followed by a 1wk incubation gradient 2C to 10C. Colder pre-incubation temperatures respired more carbon during 1wk thaw and effect stronger with higher temperatures. Did chemistry OM changes (more simple carbon forms).
#SoilBGC https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1403371