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#greenhouseforcing — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #greenhouseforcing, aggregated by home.social.

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  1. Consequence paths of CO₂ #emissions from land use change and fires:
    (Mining [not shown in chart],) climate change and forest management contribute to forest degradation and wildfires; which in turn force the greenhouse effect.

    #feedbacks #GreenhouseForcing #carbon #CDR #DAG

  2. Consequence paths of CO₂ emissions from land use change and fires:
    (Mining [not shown in chart],) climate change and forest management contribute to forest degradation and wildfires; which in turn force the greenhouse effect.

    #feedbacks #GreenhouseForcing #forests #GHG #emissions #carbon #CDR #CO2 #climateChange #DAG

  3. Consequence paths of CO₂ emissions from land use change and fires:
    (Mining [not shown in chart],) climate change and forest management contribute to forest degradation and wildfires; which in turn force the greenhouse effect.

    #feedbacks #GreenhouseForcing #forests #GHG #emissions #carbon #CDR #CO2 #climateChange #DAG

  4. "It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."

    Wrote Max Kuhn @topepo and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" bookdown.org/max/FES/

    #correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation

  5. "It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."

    Wrote Max Kuhn @topepo and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" bookdown.org/max/FES/

    #correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation

  6. @chrisnelder
    Indeed the oil industry may suffer from lower prices.

    I am taking your first project, modifying it a bit: i intend to crunch the numbers on how much CO2 emissions will be avoided by the breakdown intended by the US administration.
    Economic recession might slow down greenhouse growth as observed during the COVID lockdown: data.yt/projections/2024-resul

    @martinvermeer @gwagner

    #GreenHouseForcing #climateChange #climateBreakdown #emissions #trade #imports #exports #oilAndGas #energy

  7. @chrisnelder
    Indeed the oil industry may suffer from lower prices.

    I am taking your first project, modifying it a bit: i intend to crunch the numbers on how much CO2 emissions will be avoided by the breakdown intended by the US administration.
    Economic recession might slow down greenhouse growth as observed during the COVID lockdown: data.yt/projections/2024-resul

    @martinvermeer @gwagner

    #GreenHouseForcing #climateChange #climateBreakdown #emissions #trade #imports #exports #oilAndGas #energy

  8. @energyecon

    The top 20 highest greenhouse forcing entities collectively accounted for 17.5 GtCO2e in emissions in 2023. The list is dominated by state-owned entities, which make up 16 of the top 20, and includes a significant presence of Chinese entities, eight of which accounted for 17.3% of global fossil fuel and cement #CO2 emissions in 2023.
    carbonmajors.org/briefing/The-

    #coal #carbon #fossil #energy #CarbonMajors #globalWarming #GHG #climateCollapse #climateChange #oilAndGas #greenhouseForcing

  9. @energyecon

    The top 20 highest greenhouse forcing entities collectively accounted for 17.5 GtCO2e in emissions in 2023. The list is dominated by state-owned entities, which make up 16 of the top 20, and includes a significant presence of Chinese entities, eight of which accounted for 17.3% of global fossil fuel and cement #CO2 emissions in 2023.
    carbonmajors.org/briefing/The-

    #coal #carbon #fossil #energy #CarbonMajors #globalWarming #GHG #climateCollapse #climateChange #oilAndGas #greenhouseForcing

  10. We would halve #methane emissions from North America if we cut cattle by half 🧵

    A most efficient path would be to target #USA because the headcount is biggest and because each bovine emits most if bred the American way. Same as in Brazil: mas.to/@maugendre/113992940508

    Ref: data.yt/

    #livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #climateBreakdown #cattle #footprint #agriculture #USPol #climateChange #farming #meat #climateCollapse

  11. We would halve #methane emissions from North America if we cut cattle by half 🧵

    A most efficient path would be to target #USA because the headcount is biggest and because each bovine emits most if bred the American way. Same as in Brazil: mas.to/@maugendre/113992940508

    Ref: data.yt/

    #livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #climateBreakdown #cattle #footprint #agriculture #USPol #climateChange #farming #meat #climateCollapse

  12. @climate @agriculture

    Greenhouse gas from livestock digestion in Equatorial Climates 🧵

    Along the Equator, it mainly is sheep and bovines that account for methane emissions.
    The biggest producers are Ethiopia and Sudan (South Sudan included).

    Reference: #GreenHouseForcing data.yt/

    #Africa #livestock #emissions #cattle #sheep #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #footprint #agriculture #Indonesia

  13. @climate @agriculture

    Greenhouse gas from livestock digestion in Equatorial Climates 🧵

    Along the Equator, it mainly is sheep and bovines that account for methane emissions.
    The biggest producers are Ethiopia and Sudan (South Sudan included).

    Reference: #GreenHouseForcing data.yt/

    #Africa #livestock #emissions #cattle #sheep #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #footprint #agriculture #Indonesia

  14. @food @ecology 🧵

    #Cattle husbandry emits #greenhouse gas.
    For example:
    * South America and the Indian subcontinent breed most bovines who emit most methane.
    * China and the Middle East produce too much livestock methane in regard to their bovine headcounts.

    Emissions of #methane from livestock digestion per world region:

    #Livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #China #India #Pakistan #MiddleEast #footprint

  15. @food @ecology 🧵

    #Cattle husbandry emits #greenhouse gas.
    For example:
    * South America and the Indian subcontinent breed most bovines who emit most methane.
    * China and the Middle East produce too much livestock methane in regard to their bovine headcounts.

    Emissions of #methane from livestock digestion per world region:

    #Livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #China #India #Pakistan #MiddleEast #footprint

  16. Let's consider activities that force the Greenhouse Effect, thus @climate change. 🧵

    #Livestock digestion emits too much #methane:
    • People farm too many bovines in India, Pakistan, Brazil, United States, China;
    • People farm too many goats in India, Pakistan, China, Nigeria;
    • People farm too many pigs in China and the United States.

    #GreenHouseForcing #emissions #goats #beef #cattle #bovines #dairy #food #GHG #climateChange #FAO #EDGAR #Copernicus #CH4 #climateBreakdown #climateCollapse

  17. Let's consider activities that force the Greenhouse Effect, thus @climate change. 🧵

    #Livestock digestion emits too much #methane:
    • People farm too many bovines in India, Pakistan, Brazil, United States, China;
    • People farm too many goats in India, Pakistan, China, Nigeria;
    • People farm too many pigs in China and the United States.

    #GreenHouseForcing #emissions #goats #beef #cattle #bovines #dairy #food #GHG #climateChange #FAO #EDGAR #Copernicus #CH4 #climateBreakdown #climateCollapse

  18. Some activities are forcing climate change

    CH4 emissions from livestock digestion:
    * Pakistan doubles emissions between 2005 and 2024.
    * Pakistan and Brazil each emit 3,000 Gg/year more in 2023 than in 2005.

    #GreenHouseForcing #emissions #methane #beef #cattle #bovines #livestock #dairy #food #GHG #climateChange #FAO #EDGAR #Copernicus #CH4

  19. Some activities are forcing climate change

    CH4 emissions from livestock digestion:
    * Pakistan doubles emissions between 2005 and 2024.
    * Pakistan and Brazil each emit 3,000 Gg/year more in 2023 than in 2005.

    #GreenHouseForcing #emissions #methane #beef #cattle #bovines #livestock #dairy #food #GHG #climateChange #FAO #EDGAR #Copernicus #CH4

  20. @agriculture @climate

    CH4 emissions from livestock digestion:
    * Pakistan doubles emissions between 2005 and 2024.
    * Pakistan and Brazil each emit 3,000 Gg/year more in 2023 than in 2005.

    #GreenHouseForcing #emissions #methane #beef #cattle #bovines #livestock #dairy #food #GHG #climateChange

  21. @agriculture @climate

    CH4 emissions from livestock digestion:
    * Pakistan doubles emissions between 2005 and 2024.
    * Pakistan and Brazil each emit 3,000 Gg/year more in 2023 than in 2005.

    #GreenHouseForcing #emissions #methane #beef #cattle #bovines #livestock #dairy #food #GHG #climateChange

  22. Some activities are forcing climate change

    @agriculture @climate

    Livestock digestion emits too much methane:
    * People farm too many bovines in India, Pakistan, Brazil, United States, China;
    * People farm too many goats in India, Pakistan, China;
    * People farm too many pigs in China and the United States.

    (The bubble sizes depend on the mass of methane emitted in 2022)

    #GreenHouseForcing #emissions #methane #beef #cattle #bovines #goats #pigs #swine #livestock #dairy #food #GHG #climateChange

  23. Some activities are forcing climate change

    @agriculture @climate

    Livestock digestion emits too much methane:
    * People farm too many bovines in India, Pakistan, Brazil, United States, China;
    * People farm too many goats in India, Pakistan, China;
    * People farm too many pigs in China and the United States.

    (The bubble sizes depend on the mass of methane emitted in 2022)

    #GreenHouseForcing #emissions #methane #beef #cattle #bovines #goats #pigs #swine #livestock #dairy #food #GHG #climateChange

  24. Enteric Fermentation in 2022

    Livestock digestion emits too much methane:
    * Too many bovines in India, Pakistan, Brazil, United States, China;
    * Too many sheep and pigs in China.

    (The bubble sizes depend on the amount of methane sent in 2022.)

    #GreenhouseForcing #methane #emissions #climateChange #climateBreakdown #climateCollapse #dataViz #bubbleChart #dataMining #plotly #featureEngineering #featureSelection #dataDon

  25. Enteric Fermentation in 2022

    Livestock digestion emits too much methane:
    * Too many bovines in India, Pakistan, Brazil, United States, China;
    * Too many sheep and pigs in China.

    (The bubble sizes depend on the amount of methane sent in 2022.)

    #GreenhouseForcing #methane #emissions #climateChange #climateBreakdown #climateCollapse #dataViz #bubbleChart #dataMining #plotly #featureEngineering #featureSelection #dataDon

  26. Xi is pushing climate, study shows

    Enabling climate acceleration are economic sectors such as land use, China coal, Saudi Aramco, Coal India, Gazprom (Russia), National Iranian Oil — in that order.
    Since 2021, China coal sends more carbon in the air than NATO equities and Arab states combined. The China coal sector is increasing capacity and is delivering 12.7 GtCOe in 2024.

    The #GreenhouseForcing results are published at: data.yt/projections/2024-resul @climate

    #coal #oilAndGas #energy #carbon #CO2

  27. Xi is pushing climate, study shows

    Enabling climate acceleration are economic sectors such as land use, China coal, Saudi Aramco, Coal India, Gazprom (Russia), National Iranian Oil — in that order.
    Since 2021, China coal sends more carbon in the air than NATO equities and Arab states combined. The China coal sector is increasing capacity and is delivering 12.7 GtCOe in 2024.

    The #GreenhouseForcing results are published at: data.yt/projections/2024-resul @climate

    #coal #oilAndGas #energy #carbon #CO2