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  1. Simplifying process models to reduce processing time and feed other models, soil temperature with depth at a daily resolution is well (within 1-2 degrees) approximated with simplified with biomass, air temperature, and thermal diffusion. Parton 1984 journals.lww.com/soilsci/abstr #SciLit #ReducedComplexityModel #SoilTemperatureResponse #soil

  2. Simplifying process models to reduce processing time and feed other models, soil temperature with depth at a daily resolution is well (within 1-2 degrees) approximated with simplified with biomass, air temperature, and thermal diffusion. Parton 1984 journals.lww.com/soilsci/abstr #SciLit #ReducedComplexityModel #SoilTemperatureResponse #soil

  3. Communicating models and their outputs is often challenging. PAVE (Purpose, Assumptions, Validity, and Exploration) is a semi-structured description of computational and mathematical models designed to bridge the communication boundary between modelers and non-modelers. Bell et al 2026 doi.org/10.1093/biosci/biag010 #Models #HowToScience #SciLit

  4. Communicating models and their outputs is often challenging. PAVE (Purpose, Assumptions, Validity, and Exploration) is a semi-structured description of computational and mathematical models designed to bridge the communication boundary between modelers and non-modelers. Bell et al 2026 doi.org/10.1093/biosci/biag010 #Models #HowToScience #SciLit

  5. NASA's #data collection has undergone massive shifts in lifecycle management, #FAIR_data, technological trends, and policy. Evolving from 1980s magnetic tapes to a network of over 30 online repositories, the tech trends are easiest to identify. Adoption of #DataPipeline and #DataStandards an ongoing focus. #DataGovernance and #DataRescue are emerging. NASA #DataStewardship navigates rapid technology and long-term science.

    Bugbee, K., & Ramachandran, R. (2025) doi.org/10.1029/2025EA004413 #SciLit

  6. NASA's #data collection has undergone massive shifts in lifecycle management, #FAIR_data, technological trends, and policy. Evolving from 1980s magnetic tapes to a network of over 30 online repositories, the tech trends are easiest to identify. Adoption of #DataPipeline and #DataStandards an ongoing focus. #DataGovernance and #DataRescue are emerging. NASA #DataStewardship navigates rapid technology and long-term science.

    Bugbee, K., & Ramachandran, R. (2025) doi.org/10.1029/2025EA004413 #SciLit

  7. Operationalize CARE data governance by 1) centering relationships both individual and institutional, 2) practicing ongoing learning and assessment of governance, 3) collaborative permitting including shared protocols, and 4) documentation of governance reflected in metadata and naming. Jennings et al 2025 doi.org/10.1038/s41467-024-534 #DataGovernance #CAREData #OperationalEthics #SciLit

  8. Operationalize CARE data governance by 1) centering relationships both individual and institutional, 2) practicing ongoing learning and assessment of governance, 3) collaborative permitting including shared protocols, and 4) documentation of governance reflected in metadata and naming. Jennings et al 2025 doi.org/10.1038/s41467-024-534 #DataGovernance #CAREData #OperationalEthics #SciLit

  9. The ARID project scoped a possible new #dryland focused project area for NASA. Emerging high resolution spatial-temporal satellite and other data products provides new prospectives on the pulse-y hydrology that governs drylands. Drylands make up a large socially-important biome and right holder #engagement needs to be prioritized to provide #ActionableScience. Feldman etal 2024 doi.org/10.1029/2024EF004811 #SciLit

  10. The ARID project scoped a possible new #dryland focused project area for NASA. Emerging high resolution spatial-temporal satellite and other data products provides new prospectives on the pulse-y hydrology that governs drylands. Drylands make up a large socially-important biome and right holder #engagement needs to be prioritized to provide #ActionableScience. Feldman etal 2024 doi.org/10.1029/2024EF004811 #SciLit

  11. Training PhD students often follows ‘magician’s apprentice’ approach where advisors taking hands-on/off approach but rarely have a more nuanced language to discuss the advising journey. Wagner etal 2017 facetsjournal.com/doi/10.1139/ introduces stages 1) enthusiastic beginner, 2) discouraged learner, 3) cautious performer, and 4) self-reliant achiever. They frame roles and strategies for each stage for both the mentor and mentee and provide worksheets in their SI. #HowToScience #Mentoring #SciLit

  12. Training PhD students often follows ‘magician’s apprentice’ approach where advisors taking hands-on/off approach but rarely have a more nuanced language to discuss the advising journey. Wagner etal 2017 facetsjournal.com/doi/10.1139/ introduces stages 1) enthusiastic beginner, 2) discouraged learner, 3) cautious performer, and 4) self-reliant achiever. They frame roles and strategies for each stage for both the mentor and mentee and provide worksheets in their SI. #HowToScience #Mentoring #SciLit

  13. Agroecosystem is a promising shift in how we feed ourselves that has been under developed outside of academia for a number of political and economic reasons. Scientists, food security advocates, and social justice organizations need to rethink how we can leverage an integrated understanding of social and ecological systems to feed ourselves in the future. (Ong etal 2024 doi.org/10.1038/s43016-024-010)

    #agroecosystem #ecology #agricultural #TheoryOfChange #SciLit

  14. Agroecosystem is a promising shift in how we feed ourselves that has been under developed outside of academia for a number of political and economic reasons. Scientists, food security advocates, and social justice organizations need to rethink how we can leverage an integrated understanding of social and ecological systems to feed ourselves in the future. (Ong etal 2024 doi.org/10.1038/s43016-024-010)

    #agroecosystem #ecology #agricultural #TheoryOfChange #SciLit

  15. New study: "Non-selective databases (#Dimensions, #OpenAlex, #Scilit, and #TheLens) index a greater amount of retracted literature than do databases that rely their indexation on venue selection (#PubMed, #Scopus, and #WoS)…The high coverage of OpenAlex and Scilit could be explained by the inaccurate labeling of retracted documents in #Scopus, Dimensions, and The Lens."
    link.springer.com/article/10.1

    #Retractions

  16. New study: "Non-selective databases (#Dimensions, #OpenAlex, #Scilit, and #TheLens) index a greater amount of retracted literature than do databases that rely their indexation on venue selection (#PubMed, #Scopus, and #WoS)…The high coverage of OpenAlex and Scilit could be explained by the inaccurate labeling of retracted documents in #Scopus, Dimensions, and The Lens."
    link.springer.com/article/10.1

    #Retractions

  17. Flat teams drive scientific innovation, moving beyond team size Xu etal 2022 (pnas.org/doi/pdf/10.1073/pnas.) looked at reported contribution, contextual authorship records, and author ordering to disentangle + quantify relative leadership contributions. Tall teams maximize immediate benefits to senior leads, flat teams were more innovative. #TeamScience #SciLit

  18. Flat teams drive scientific innovation, moving beyond team size Xu etal 2022 (pnas.org/doi/pdf/10.1073/pnas.) looked at reported contribution, contextual authorship records, and author ordering to disentangle + quantify relative leadership contributions. Tall teams maximize immediate benefits to senior leads, flat teams were more innovative. #TeamScience #SciLit

  19. Socio-environmental design process for a just climate transition seeking to be community centered and adaptive rather the proscriptive, this approach blends complexity theory with social justice. Enfors-Kaustky etal 2021 ecologyandsociety.org/vol26/is #JustTransition #ClimateChange #SciLit

  20. Socio-environmental design process for a just climate transition seeking to be community centered and adaptive rather the proscriptive, this approach blends complexity theory with social justice. Enfors-Kaustky etal 2021 ecologyandsociety.org/vol26/is #JustTransition #ClimateChange #SciLit

  21. Simplified land carbon model is consistent with global data products and allows for unique structural and parameter uncertainty analysis. Smith et al 2013 bg.copernicus.org/articles/10/ #LandCarbon #GlobalModel #ModelingMethod #SciLit

  22. Simplified land carbon model is consistent with global data products and allows for unique structural and parameter uncertainty analysis. Smith et al 2013 bg.copernicus.org/articles/10/ #LandCarbon #GlobalModel #ModelingMethod #SciLit

  23. 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 doi.org/10.2489/jswc.2023.0013

    #agricultural #SoilPractices #Upscaling #SoilCarbonModel #SciLit

  24. 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 doi.org/10.2489/jswc.2023.0013

    #agricultural #SoilPractices #Upscaling #SoilCarbonModel #SciLit

  25. Curious about the spatial distribution of soil organic carbon across the United States? Of course you are! Wang etall 2024 agupubs.onlinelibrary.wiley.co used a combination clustering and random forest approach to upscale point estimates of soil carbon stocks. #SoilCarbon #Upscale #SciLit

    I'm a co-author here! Join me on a read through of this paper 1/n

  26. Curious about the spatial distribution of soil organic carbon across the United States? Of course you are! Wang etall 2024 agupubs.onlinelibrary.wiley.co used a combination clustering and random forest approach to upscale point estimates of soil carbon stocks. #SoilCarbon #Upscale #SciLit

    I'm a co-author here! Join me on a read through of this paper 1/n

  27. Moving beyond IRB into decolonized participatory action research Tuck and Guishard 2013 evetuck.com/s/Tuck-Guishard_Un lay out reflectivity, expertise, humility, dignity, action, and relationality as guiding principles of ethical research.
    #HowToScience #Decolonize #SciLit

  28. Moving beyond IRB into decolonized participatory action research Tuck and Guishard 2013 evetuck.com/s/Tuck-Guishard_Un lay out reflectivity, expertise, humility, dignity, action, and relationality as guiding principles of ethical research.
    #HowToScience #Decolonize #SciLit

  29. Geostatistics in soils are often ignored with significant opportunities for misinterpretation of carbon storage resulting from interventions. Slessarev etal 2023 doi.org/10.1111/gcb.16491 takes us back to stats class, highlighting regression to the mean effects and normalization artifacts. #SoilCarbon #SoilPractices #agricultural #CitationMine #Geostatistics #SciLit

  30. Geostatistics in soils are often ignored with significant opportunities for misinterpretation of carbon storage resulting from interventions. Slessarev etal 2023 doi.org/10.1111/gcb.16491 takes us back to stats class, highlighting regression to the mean effects and normalization artifacts. #SoilCarbon #SoilPractices #agricultural #CitationMine #Geostatistics #SciLit

  31. Soils of old growth forests are NOT necessarily at steady state. Gaines in soil organic carbon stocks (~30%) were are seen in one southern China preserve from 1979 to 2003. Zhou etal 2006 science.org/doi/10.1126/scienc #SoilCarbon #SoilPractices #SoilSampleDesign #SciLit

  32. Soils of old growth forests are NOT necessarily at steady state. Gaines in soil organic carbon stocks (~30%) were are seen in one southern China preserve from 1979 to 2003. Zhou etal 2006 science.org/doi/10.1126/scienc #SoilCarbon #SoilPractices #SoilSampleDesign #SciLit

  33. Deep soils respire only 10% of total CO2 (>30cm) despite holding most of the SOC (~50%). Fresh litter also tends to stay on top and not make it's way deeper (13C tagged litter addition). Wordell-Dietrich etal 2020 doi.org/10.5194/bg-17-6341-202 used 2m deep and 1.6m diameter soil observatories to continuously monitor soils at 10, 30, 50, 90 and 150 cm; measuring CO2, SOC, 13C (tagged surface litter addition), and 14C. #SoilDataSource #SoilCarbon #DeepCarbon #SciLit

  34. Deep soils respire only 10% of total CO2 (>30cm) despite holding most of the SOC (~50%). Fresh litter also tends to stay on top and not make it's way deeper (13C tagged litter addition). Wordell-Dietrich etal 2020 doi.org/10.5194/bg-17-6341-202 used 2m deep and 1.6m diameter soil observatories to continuously monitor soils at 10, 30, 50, 90 and 150 cm; measuring CO2, SOC, 13C (tagged surface litter addition), and 14C. #SoilDataSource #SoilCarbon #DeepCarbon #SciLit

  35. Instantaneous incubation responses change depending on prior temperature. This change does not correspond to biomass size and is larger in Arctic/boreal soils and smaller in agricultural soils. One of my personal favorite incubation studies, this is a clever use of a single cooling-warming incubation cycle over the course of several months. Karhu etal 2014 doi.org/10.1038/nature13604 #SoilBiogeochemistry #Incubation #SoilTemperatureResponse #SoilCarbonModel #SciLit

  36. Instantaneous incubation responses change depending on prior temperature. This change does not correspond to biomass size and is larger in Arctic/boreal soils and smaller in agricultural soils. One of my personal favorite incubation studies, this is a clever use of a single cooling-warming incubation cycle over the course of several months. Karhu etal 2014 doi.org/10.1038/nature13604 #SoilBiogeochemistry #Incubation #SoilTemperatureResponse #SoilCarbonModel #SciLit

  37. 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 doi.org/10.1016/j.soilbio.2023 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

  38. 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 doi.org/10.1016/j.soilbio.2023 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

  39. 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 doi.org/10.1016/j.soilbio.2007 #HowToScience #SoilCarbonCycling #LandCarbonModel #SciLit

  40. 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 doi.org/10.1016/j.soilbio.2007 #HowToScience #SoilCarbonCycling #LandCarbonModel #SciLit

  41. Soil fractionation offers one way to try to tease out soil carbon dynamics beyond bulk. Using a linear-mixed effects model and large soil carbon database ( #ISRaD ) Heckman et al 2022 doi.org/10.1111/gcb.16023 found that depth was critical in explaining soil carbon stocks and persistence. Many traditional ClORPT variables were also explanatory, except for NPP, though their effects of different fractions differed. #SoilCarbon #DataCollection #Reanalysis #sciLit

  42. Soil fractionation offers one way to try to tease out soil carbon dynamics beyond bulk. Using a linear-mixed effects model and large soil carbon database ( #ISRaD ) Heckman et al 2022 doi.org/10.1111/gcb.16023 found that depth was critical in explaining soil carbon stocks and persistence. Many traditional ClORPT variables were also explanatory, except for NPP, though their effects of different fractions differed. #SoilCarbon #DataCollection #Reanalysis #sciLit

  43. Estimates of maximum biomass production for the EU are between between 551 to 357 Tg yr-1 with most of the uncertainty due to management choices. Verkerk et al 2019 doi.org/10.1186/s40663-019-016 #Biofuels #LandCarbonDynamics #Upscaling #Harvest #SciLit

  44. Estimates of maximum biomass production for the EU are between between 551 to 357 Tg yr-1 with most of the uncertainty due to management choices. Verkerk et al 2019 doi.org/10.1186/s40663-019-016 #Biofuels #LandCarbonDynamics #Upscaling #Harvest #SciLit

  45. Fire and can ‘wake up’ seeds from their domant state vai heat and/or smoke. This is an evolutionary trait in fire dominated systems that we do not see in systems that don’t have regular fire events (arid lands and rainforests for example). Humans seem to reduce fire frequency and this in turn reduces biodiversity. Pausas and Lamont 2022 doi.org/10.1111/brv.12855 #FireEcology #SciLit

  46. Fire and can ‘wake up’ seeds from their domant state vai heat and/or smoke. This is an evolutionary trait in fire dominated systems that we do not see in systems that don’t have regular fire events (arid lands and rainforests for example). Humans seem to reduce fire frequency and this in turn reduces biodiversity. Pausas and Lamont 2022 doi.org/10.1111/brv.12855 #FireEcology #SciLit

  47. 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 doi.org/10.1016/j.soilbio.2015 looked for parameter determination and recovering using incubation experiments and mass loss studies (gold standard for model fits). #SoilBGC #Models #DataScience #ModelDataIntegration #ParameterIdentifiability #SciLit

  48. 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 doi.org/10.1016/j.soilbio.2015 looked for parameter determination and recovering using incubation experiments and mass loss studies (gold standard for model fits). #SoilBGC #Models #DataScience #ModelDataIntegration #ParameterIdentifiability #SciLit

  49. 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 sciencedirect.com/science/arti 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

  50. 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 sciencedirect.com/science/arti 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

  51. @grimalkina I use #SciLit for my academic journal articles. Now you all know what to filter out if you don't want boring academic recaps.

  52. @grimalkina I use #SciLit for my academic journal articles. Now you all know what to filter out if you don't want boring academic recaps.

  53. Data patterns for community survey data integrated into a data harmonization workflow description, O'Brien etal 2021 tackles the issue of diverse data harmonization for ecological community surveys. sciencedirect.com/science/arti #DataScience #DataPipeline #DataCuration #SciLit

  54. Data patterns for community survey data integrated into a data harmonization workflow description, O'Brien etal 2021 tackles the issue of diverse data harmonization for ecological community surveys. sciencedirect.com/science/arti #DataScience #DataPipeline #DataCuration #SciLit