#greenhouseforcing — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #greenhouseforcing, aggregated by home.social.
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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 -
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
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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
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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
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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
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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
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New study uses causal inference to demonstrate that we would avoid 20 % methane emissions if one commodity was replaced.
I have just published a preprint article at https://doi.org/10.5281/zenodo.19019693#decoupling #agriculture #beef #cattle #carbon #causality #causalInference #causation #confounding #counterFactuals #emissions #GHG #methane #offPolicy #policy #publicPolicy #vegan #climateChange #GreenhouseForcing #greenhouseEffect
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New study uses causal inference to demonstrate that we would avoid 20 % methane emissions if one commodity was replaced.
I have just published a preprint article at https://doi.org/10.5281/zenodo.19019693#decoupling #agriculture #beef #cattle #carbon #causality #causalInference #causation #confounding #counterFactuals #emissions #GHG #methane #offPolicy #policy #publicPolicy #vegan #climateChange #GreenhouseForcing #greenhouseEffect
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New study uses causal inference to demonstrate that we would avoid 20 % methane emissions if one commodity was replaced.
I have just published a preprint article at https://doi.org/10.5281/zenodo.19019693#decoupling #agriculture #beef #cattle #carbon #causality #causalInference #causation #confounding #counterFactuals #emissions #GHG #methane #offPolicy #policy #publicPolicy #vegan #climateChange #GreenhouseForcing #greenhouseEffect
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New study uses causal inference to demonstrate that we would avoid 20 % methane emissions if one commodity was replaced.
I have just published a preprint article at https://doi.org/10.5281/zenodo.19019693#decoupling #agriculture #beef #cattle #carbon #causality #causalInference #causation #confounding #counterFactuals #emissions #GHG #methane #offPolicy #policy #publicPolicy #vegan #climateChange #GreenhouseForcing #greenhouseEffect
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New study uses causal inference to demonstrate that we would avoid 20 % methane emissions if one commodity was replaced.
I have just published a preprint article at https://doi.org/10.5281/zenodo.19019693#decoupling #agriculture #beef #cattle #carbon #causality #causalInference #causation #confounding #counterFactuals #emissions #GHG #methane #offPolicy #policy #publicPolicy #vegan #climateChange #GreenhouseForcing #greenhouseEffect
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You can't bargain with #physics. #JamesHansen was on point for decades now. #GlobalWarming will exceed 2°C
https://www.youtube.com/watch?v=4-a-qeMyaPE
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #Co2 #Co2Emissions #methane #GreenhouseGases #fossilfuels #KeepitInTheGround
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You can't bargain with #physics. #JamesHansen was on point for decades now. #GlobalWarming will exceed 2°C
https://www.youtube.com/watch?v=4-a-qeMyaPE
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #Co2 #Co2Emissions #methane #GreenhouseGases #fossilfuels #KeepitInTheGround
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You can't bargain with #physics. #JamesHansen was on point for decades now. #GlobalWarming will exceed 2°C
https://www.youtube.com/watch?v=4-a-qeMyaPE
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #Co2 #Co2Emissions #methane #GreenhouseGases #fossilfuels #KeepitInTheGround
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You can't bargain with #physics. #JamesHansen was on point for decades now. #GlobalWarming will exceed 2°C
https://www.youtube.com/watch?v=4-a-qeMyaPE
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #Co2 #Co2Emissions #methane #GreenhouseGases #fossilfuels #KeepitInTheGround
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You can't bargain with #physics. #JamesHansen was on point for decades now. #GlobalWarming will exceed 2°C
https://www.youtube.com/watch?v=4-a-qeMyaPE
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #Co2 #Co2Emissions #methane #GreenhouseGases #fossilfuels #KeepitInTheGround
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"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" https://bookdown.org/max/FES/
#correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation
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"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" https://bookdown.org/max/FES/
#correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation
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"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" https://bookdown.org/max/FES/
#correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation
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"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" https://bookdown.org/max/FES/
#correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation
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"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" https://bookdown.org/max/FES/
#correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation
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@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: http://data.yt/projections/2024-results.html#GreenHouseForcing #climateChange #climateBreakdown #emissions #trade #imports #exports #oilAndGas #energy
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@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: http://data.yt/projections/2024-results.html#GreenHouseForcing #climateChange #climateBreakdown #emissions #trade #imports #exports #oilAndGas #energy
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@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: http://data.yt/projections/2024-results.html#GreenHouseForcing #climateChange #climateBreakdown #emissions #trade #imports #exports #oilAndGas #energy
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@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: http://data.yt/projections/2024-results.html#GreenHouseForcing #climateChange #climateBreakdown #emissions #trade #imports #exports #oilAndGas #energy
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@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: http://data.yt/projections/2024-results.html#GreenHouseForcing #climateChange #climateBreakdown #emissions #trade #imports #exports #oilAndGas #energy
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Changing our diets and ways of producing food is crucial to combat climate change and increase human health. A key change is lessening the impact of meat and animal products like eggs and dairy. 🧵
#FAO #animalProduction #animalWelfare #food #animal #animals #welfare #deforestation #beef #chicken #poultry #imports #exports #agriculture #freeTrade #eggs #milk #diet #dairy #publicHealth #OneHealth #inflation #GreenHouseForcing #emissions #trade
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Changing our diets and ways of producing food is crucial to combat climate change and increase human health. A key change is lessening the impact of meat and animal products like eggs and dairy. 🧵
#FAO #animalProduction #animalWelfare #food #animal #animals #welfare #deforestation #beef #chicken #poultry #imports #exports #agriculture #freeTrade #eggs #milk #diet #dairy #publicHealth #OneHealth #inflation #GreenHouseForcing #emissions #trade
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Changing our diets and ways of producing food is crucial to combat climate change and increase human health. A key change is lessening the impact of meat and animal products like eggs and dairy. 🧵
#FAO #animalProduction #animalWelfare #food #animal #animals #welfare #deforestation #beef #chicken #poultry #imports #exports #agriculture #freeTrade #eggs #milk #diet #dairy #publicHealth #OneHealth #inflation #GreenHouseForcing #emissions #trade
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Changing our diets and ways of producing food is crucial to combat climate change and increase human health. A key change is lessening the impact of meat and animal products like eggs and dairy. 🧵
#FAO #animalProduction #animalWelfare #food #animal #animals #welfare #deforestation #beef #chicken #poultry #imports #exports #agriculture #freeTrade #eggs #milk #diet #dairy #publicHealth #OneHealth #inflation #GreenHouseForcing #emissions #trade
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Changing our diets and ways of producing food is crucial to combat climate change and increase human health. A key change is lessening the impact of meat and animal products like eggs and dairy. 🧵
#FAO #animalProduction #animalWelfare #food #animal #animals #welfare #deforestation #beef #chicken #poultry #imports #exports #agriculture #freeTrade #eggs #milk #diet #dairy #publicHealth #OneHealth #inflation #GreenHouseForcing #emissions #trade
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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.
https://carbonmajors.org/briefing/The-Carbon-Majors-Database-2023-Update-31397#coal #carbon #fossil #energy #CarbonMajors #globalWarming #GHG #climateCollapse #climateChange #oilAndGas #greenhouseForcing
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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.
https://carbonmajors.org/briefing/The-Carbon-Majors-Database-2023-Update-31397#coal #carbon #fossil #energy #CarbonMajors #globalWarming #GHG #climateCollapse #climateChange #oilAndGas #greenhouseForcing
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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.
https://carbonmajors.org/briefing/The-Carbon-Majors-Database-2023-Update-31397#coal #carbon #fossil #energy #CarbonMajors #globalWarming #GHG #climateCollapse #climateChange #oilAndGas #greenhouseForcing
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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.
https://carbonmajors.org/briefing/The-Carbon-Majors-Database-2023-Update-31397#coal #carbon #fossil #energy #CarbonMajors #globalWarming #GHG #climateCollapse #climateChange #oilAndGas #greenhouseForcing
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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.
https://carbonmajors.org/briefing/The-Carbon-Majors-Database-2023-Update-31397#coal #carbon #fossil #energy #CarbonMajors #globalWarming #GHG #climateCollapse #climateChange #oilAndGas #greenhouseForcing
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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: https://mas.to/@maugendre/113992940508282754
Ref: http://data.yt/
#livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #climateBreakdown #cattle #footprint #agriculture #USPol #climateChange #farming #meat #climateCollapse
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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: https://mas.to/@maugendre/113992940508282754
Ref: http://data.yt/
#livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #climateBreakdown #cattle #footprint #agriculture #USPol #climateChange #farming #meat #climateCollapse
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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: https://mas.to/@maugendre/113992940508282754
Ref: http://data.yt/
#livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #climateBreakdown #cattle #footprint #agriculture #USPol #climateChange #farming #meat #climateCollapse
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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: https://mas.to/@maugendre/113992940508282754
Ref: http://data.yt/
#livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #climateBreakdown #cattle #footprint #agriculture #USPol #climateChange #farming #meat #climateCollapse
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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: https://mas.to/@maugendre/113992940508282754
Ref: http://data.yt/
#livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #climateBreakdown #cattle #footprint #agriculture #USPol #climateChange #farming #meat #climateCollapse
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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 http://data.yt/
#Africa #livestock #emissions #cattle #sheep #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #footprint #agriculture #Indonesia
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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 http://data.yt/
#Africa #livestock #emissions #cattle #sheep #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #footprint #agriculture #Indonesia
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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 http://data.yt/
#Africa #livestock #emissions #cattle #sheep #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #footprint #agriculture #Indonesia
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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 http://data.yt/
#Africa #livestock #emissions #cattle #sheep #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #footprint #agriculture #Indonesia
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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 http://data.yt/
#Africa #livestock #emissions #cattle #sheep #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #footprint #agriculture #Indonesia
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#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
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#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
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#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
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#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