#unu — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #unu, aggregated by home.social.
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The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints
#AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.
Date Published 3 Jun 2026
UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).
"This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health (#UNU-#INWEH) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.
"The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.
"Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."
Download PDF:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
#DatacenterMoratoriums -
The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints
#AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.
Date Published 3 Jun 2026
UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).
"This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health (#UNU-#INWEH) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.
"The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.
"Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."
Download PDF:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
#DatacenterMoratoriums -
The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints
#AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.
Date Published 3 Jun 2026
UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).
"This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health (#UNU-#INWEH) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.
"The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.
"Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."
Download PDF:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
#DatacenterMoratoriums -
The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints
#AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.
Date Published 3 Jun 2026
UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).
"This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health (#UNU-#INWEH) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.
"The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.
"Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."
Download PDF:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
#DatacenterMoratoriums -
The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints
#AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.
Date Published 3 Jun 2026
UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).
"This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health (#UNU-#INWEH) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.
"The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.
"Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."
Download PDF:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
#DatacenterMoratoriums -
https://www.europesays.com/africa/265855/ FM discusses strengthening cooperation in AI with UN Under-Secretary-General #Development #education #Egypt #Tokyo #UNU
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creates semantic nodes and clusters #UNITED #AIRLINES multi-search-tag-explorer.aepiot.com/advanced-sea... #UNU #MERIT semantic-search.aepiot.ro/advanced-sea... Do you like aéPiot semantics? Donate to the aéPiot semantic platform: www.paypal.com/donate?busin...
MultiSearch Tag Explorer -
creates semantic nodes and clusters #UNITED #AIRLINES multi-search-tag-explorer.aepiot.com/advanced-sea... #UNU #MERIT semantic-search.aepiot.ro/advanced-sea... Do you like aéPiot semantics? Donate to the aéPiot semantic platform: www.paypal.com/donate?busin...
MultiSearch Tag Explorer -
Pride 2026* (Stand 14.07.)
11.04. #WA :komfortcheckin:
02.05. #LD :komfortcheckin:
16.05. Eppelheim :komfortcheckin:
23.05. #UNU :komfortcheckin:
30.05. #FG :komfortcheckin:
13.06. #WWR :komfortcheckin:
20.06. #RF :komfortcheckin:
27.06. #MHODE :komfortcheckin:
11.07. #MFR :komfortcheckin:
12.07. #BHF 🏳️⚧️ :komfortcheckin:
18.07. #ELUE
25.07. #MEG
26.07. #MMF
01.08. #MWO
05.09. #KM 🏳️⚧️
19.09. #KR*Alle Angaben ohne Gewähr, kurzfristige Änderungen möglich
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Pride 2026* (Stand 14.07.)
11.04. #WA :komfortcheckin:
02.05. #LD :komfortcheckin:
16.05. Eppelheim :komfortcheckin:
23.05. #UNU :komfortcheckin:
30.05. #FG :komfortcheckin:
13.06. #WWR :komfortcheckin:
20.06. #RF :komfortcheckin:
27.06. #MHODE :komfortcheckin:
11.07. #MFR :komfortcheckin:
12.07. #BHF 🏳️⚧️ :komfortcheckin:
18.07. #ELUE
25.07. #MEG
26.07. #MMF
01.08. #MWO
05.09. #KM 🏳️⚧️
19.09. #KR*Alle Angaben ohne Gewähr, kurzfristige Änderungen möglich
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Pride 2026* (Stand 25.07.)
11.04. #WA :komfortcheckin:
02.05. #LD :komfortcheckin:
16.05. Eppelheim :komfortcheckin:
23.05. #UNU :komfortcheckin:
30.05. #FG :komfortcheckin:
13.06. #WWR :komfortcheckin:
20.06. #RF :komfortcheckin:
27.06. #MHODE :komfortcheckin:
11.07. #MFR :komfortcheckin:
12.07. #BHF 🏳️⚧️ :komfortcheckin:
18.07. #ELUE :komfortcheckin:
25.07. #MEG :komfortcheckin:
26.07. #MMF
01.08. #MWO
15.08. #KKR
22.08. #MPF
05.09. #KM 🏳️⚧️
19.09. #KR*Alle Angaben ohne Gewähr, kurzfristige Änderungen möglich
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Pride 2026* (Stand 14.07.)
11.04. #WA :komfortcheckin:
02.05. #LD :komfortcheckin:
16.05. Eppelheim :komfortcheckin:
23.05. #UNU :komfortcheckin:
30.05. #FG :komfortcheckin:
13.06. #WWR :komfortcheckin:
20.06. #RF :komfortcheckin:
27.06. #MHODE :komfortcheckin:
11.07. #MFR :komfortcheckin:
12.07. #BHF 🏳️⚧️ :komfortcheckin:
18.07. #ELUE
25.07. #MEG
26.07. #MMF
01.08. #MWO
05.09. #KM 🏳️⚧️
19.09. #KR*Alle Angaben ohne Gewähr, kurzfristige Änderungen möglich
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Pride 2026* (Stand 25.07.)
11.04. #WA :komfortcheckin:
02.05. #LD :komfortcheckin:
16.05. Eppelheim :komfortcheckin:
23.05. #UNU :komfortcheckin:
30.05. #FG :komfortcheckin:
13.06. #WWR :komfortcheckin:
20.06. #RF :komfortcheckin:
27.06. #MHODE :komfortcheckin:
11.07. #MFR :komfortcheckin:
12.07. #BHF 🏳️⚧️ :komfortcheckin:
18.07. #ELUE :komfortcheckin:
25.07. #MEG :komfortcheckin:
26.07. #MMF
01.08. #MWO
15.08. #KKR
22.08. #MPF
05.09. #KM 🏳️⚧️
19.09. #KR*Alle Angaben ohne Gewähr, kurzfristige Änderungen möglich
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Aviation weather for Dodge County airport in Juneau area (USA) is “KUNU 210310Z AUTO 06015G20KT 10SM OVC009 07/06 A2978 RMK AO2 T00660058 TSNO” : See what it means on https://www.bigorre.org/aero/meteo/kunu/en #juneau #usa #dodgecountyairport #kunu #unu #metar #aviation #aviationweather #avgeek #airport vl
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Aviation weather for Dodge County airport in Juneau area (USA) is “KUNU 210310Z AUTO 06015G20KT 10SM OVC009 07/06 A2978 RMK AO2 T00660058 TSNO” : See what it means on https://www.bigorre.org/aero/meteo/kunu/en #juneau #usa #dodgecountyairport #kunu #unu #metar #aviation #aviationweather #avgeek #airport vl
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Aviation weather for Dodge County airport in Juneau area (USA) is “KUNU 210310Z AUTO 06015G20KT 10SM OVC009 07/06 A2978 RMK AO2 T00660058 TSNO” : See what it means on https://www.bigorre.org/aero/meteo/kunu/en #juneau #usa #dodgecountyairport #kunu #unu #metar #aviation #aviationweather #avgeek #airport vl
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Aviation weather for Dodge County airport in Juneau area (USA) is “KUNU 210310Z AUTO 06015G20KT 10SM OVC009 07/06 A2978 RMK AO2 T00660058 TSNO” : See what it means on https://www.bigorre.org/aero/meteo/kunu/en #juneau #usa #dodgecountyairport #kunu #unu #metar #aviation #aviationweather #avgeek #airport vl
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Heute lautlos durch die Nacht. Bei 2°C fallen mir zwar die Finger ab, aber hey, Frühling! #UNU
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Heute lautlos durch die Nacht. Bei 2°C fallen mir zwar die Finger ab, aber hey, Frühling! #UNU
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Heute lautlos durch die Nacht. Bei 2°C fallen mir zwar die Finger ab, aber hey, Frühling! #UNU
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Heute lautlos durch die Nacht. Bei 2°C fallen mir zwar die Finger ab, aber hey, Frühling! #UNU
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Heute lautlos durch die Nacht. Bei 2°C fallen mir zwar die Finger ab, aber hey, Frühling! #UNU
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DER SPIEGEL: #Unu: Berliner E-Roller Start-up ist insolvent https://www.spiegel.de/wirtschaft/unu-berliner-e-roller-start-up-ist-insolvent-a-604b6f05-88fc-45b0-8fa1-f355bf7f2141
Das ganze Zeug wird in Zukunft ausschließlich aus China kommen. Keine Chance für deutsche Fertigung (siehe auch #Kumpan). -
DER SPIEGEL: #Unu: Berliner E-Roller Start-up ist insolvent https://www.spiegel.de/wirtschaft/unu-berliner-e-roller-start-up-ist-insolvent-a-604b6f05-88fc-45b0-8fa1-f355bf7f2141
Das ganze Zeug wird in Zukunft ausschließlich aus China kommen. Keine Chance für deutsche Fertigung (siehe auch #Kumpan). -
DER SPIEGEL: #Unu: Berliner E-Roller Start-up ist insolvent https://www.spiegel.de/wirtschaft/unu-berliner-e-roller-start-up-ist-insolvent-a-604b6f05-88fc-45b0-8fa1-f355bf7f2141
Das ganze Zeug wird in Zukunft ausschließlich aus China kommen. Keine Chance für deutsche Fertigung (siehe auch #Kumpan). -
DER SPIEGEL: #Unu: Berliner E-Roller Start-up ist insolvent https://www.spiegel.de/wirtschaft/unu-berliner-e-roller-start-up-ist-insolvent-a-604b6f05-88fc-45b0-8fa1-f355bf7f2141
Das ganze Zeug wird in Zukunft ausschließlich aus China kommen. Keine Chance für deutsche Fertigung (siehe auch #Kumpan). -
DER SPIEGEL: #Unu: Berliner E-Roller Start-up ist insolvent https://www.spiegel.de/wirtschaft/unu-berliner-e-roller-start-up-ist-insolvent-a-604b6f05-88fc-45b0-8fa1-f355bf7f2141
Das ganze Zeug wird in Zukunft ausschließlich aus China kommen. Keine Chance für deutsche Fertigung (siehe auch #Kumpan). -
#Earth close to ‘risk #TippingPoints’ that will damage our ability to deal with #ClimateCrisis, warns #UN - Analysis also warns of further tipping points on horizon such as drying up of #groundwater vital for food supplies -
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“As we indiscriminately extract our water resources, damage #nature, and pollute both #Earth and #space, we are moving dangerously close to the brink of multiple risk tipping points that could destroy the very systems that our life depends on,” said Dr Zita Sebesvari, at UNU’s Institute for Environment and Human Security. “We are changing the entire risk landscape and losing our tools to manage risk.”
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"These “ #risk tipping points” also include the loss of the mountain #glaciers that are essential for water supplies in many parts of the world and accumulating #space #debris knocking out #satellites that provide early warnings of extreme weather."
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"The risk tipping points are different from the #climate tipping points the world is on the brink of, including the collapse of #Amazon rainforest and the shutdown of a key Atlantic Ocean current #AMOC. The climate tipping points are large-scale changes driven by human-caused global heating, while the risk tipping points are more directly connected to people’s lives via complex #social and #ecological systems."here is a link to the #UNU report - https://interconnectedrisks.org/
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#Earth close to ‘risk #TippingPoints’ that will damage our ability to deal with #ClimateCrisis, warns #UN - Analysis also warns of further tipping points on horizon such as drying up of #groundwater vital for food supplies -
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“As we indiscriminately extract our water resources, damage #nature, and pollute both #Earth and #space, we are moving dangerously close to the brink of multiple risk tipping points that could destroy the very systems that our life depends on,” said Dr Zita Sebesvari, at UNU’s Institute for Environment and Human Security. “We are changing the entire risk landscape and losing our tools to manage risk.”
...
"These “ #risk tipping points” also include the loss of the mountain #glaciers that are essential for water supplies in many parts of the world and accumulating #space #debris knocking out #satellites that provide early warnings of extreme weather."
...
"The risk tipping points are different from the #climate tipping points the world is on the brink of, including the collapse of #Amazon rainforest and the shutdown of a key Atlantic Ocean current #AMOC. The climate tipping points are large-scale changes driven by human-caused global heating, while the risk tipping points are more directly connected to people’s lives via complex #social and #ecological systems."here is a link to the #UNU report - https://interconnectedrisks.org/
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#Earth close to ‘risk #TippingPoints’ that will damage our ability to deal with #ClimateCrisis, warns #UN - Analysis also warns of further tipping points on horizon such as drying up of #groundwater vital for food supplies -
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“As we indiscriminately extract our water resources, damage #nature, and pollute both #Earth and #space, we are moving dangerously close to the brink of multiple risk tipping points that could destroy the very systems that our life depends on,” said Dr Zita Sebesvari, at UNU’s Institute for Environment and Human Security. “We are changing the entire risk landscape and losing our tools to manage risk.”
...
"These “ #risk tipping points” also include the loss of the mountain #glaciers that are essential for water supplies in many parts of the world and accumulating #space #debris knocking out #satellites that provide early warnings of extreme weather."
...
"The risk tipping points are different from the #climate tipping points the world is on the brink of, including the collapse of #Amazon rainforest and the shutdown of a key Atlantic Ocean current #AMOC. The climate tipping points are large-scale changes driven by human-caused global heating, while the risk tipping points are more directly connected to people’s lives via complex #social and #ecological systems."here is a link to the #UNU report - https://interconnectedrisks.org/
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#Earth close to ‘risk #TippingPoints’ that will damage our ability to deal with #ClimateCrisis, warns #UN - Analysis also warns of further tipping points on horizon such as drying up of #groundwater vital for food supplies -
...
“As we indiscriminately extract our water resources, damage #nature, and pollute both #Earth and #space, we are moving dangerously close to the brink of multiple risk tipping points that could destroy the very systems that our life depends on,” said Dr Zita Sebesvari, at UNU’s Institute for Environment and Human Security. “We are changing the entire risk landscape and losing our tools to manage risk.”
...
"These “ #risk tipping points” also include the loss of the mountain #glaciers that are essential for water supplies in many parts of the world and accumulating #space #debris knocking out #satellites that provide early warnings of extreme weather."
...
"The risk tipping points are different from the #climate tipping points the world is on the brink of, including the collapse of #Amazon rainforest and the shutdown of a key Atlantic Ocean current #AMOC. The climate tipping points are large-scale changes driven by human-caused global heating, while the risk tipping points are more directly connected to people’s lives via complex #social and #ecological systems."here is a link to the #UNU report - https://interconnectedrisks.org/
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Hier warte ich auf euch, wenn ihr bei mir eine kostenlose Probefahrt mit dem Unu Scooter gebucht habt. 🛵
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Einfach Probefahrt buchen
► https://unumotors.com/de-de/test-ride
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#unu #unuscooter #unumotors #unuscooter #unupro #eroller #elektroroller #elelktromobiliität -
Hier warte ich auf euch, wenn ihr bei mir eine kostenlose Probefahrt mit dem Unu Scooter gebucht habt. 🛵
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Einfach Probefahrt buchen
► https://unumotors.com/de-de/test-ride
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#unu #unuscooter #unumotors #unuscooter #unupro #eroller #elektroroller #elelktromobiliität -
Hier warte ich auf euch, wenn ihr bei mir eine kostenlose Probefahrt mit dem Unu Scooter gebucht habt. 🛵
-
Einfach Probefahrt buchen
► https://unumotors.com/de-de/test-ride
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#unu #unuscooter #unumotors #unuscooter #unupro #eroller #elektroroller #elelktromobiliität -
Hier warte ich auf euch, wenn ihr bei mir eine kostenlose Probefahrt mit dem Unu Scooter gebucht habt. 🛵
-
Einfach Probefahrt buchen
► https://unumotors.com/de-de/test-ride
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#unu #unuscooter #unumotors #unuscooter #unupro #eroller #elektroroller #elelktromobiliität -
Nutzt hier jemand einen Unu Scooter? #unu #scooter #emobilität
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J'ai des trucs tellement fat qui se préparent héhé ! Trop hâte de faire les annonces 😎.
#UnblockedAndUnchained #UnU -
J'ai des trucs tellement fat qui se préparent héhé ! Trop hâte de faire les annonces 😎.
#UnblockedAndUnchained #UnU -
J'ai des trucs tellement fat qui se préparent héhé ! Trop hâte de faire les annonces 😎.
#UnblockedAndUnchained #UnU -
J'ai des trucs tellement fat qui se préparent héhé ! Trop hâte de faire les annonces 😎.
#UnblockedAndUnchained #UnU -
J'ai des trucs tellement fat qui se préparent héhé ! Trop hâte de faire les annonces 😎.
#UnblockedAndUnchained #UnU -
Une première date publique de ma conférence #UnblockedAndUnchained est confirmée et s'organise. Ce sera à l'Université Sorbonne Nouvelle #Paris3 début avril. Plus d'info bientôt ! #UnU
D'ici là, bonne #grève31janvier pour aujourd'hui et bonne lutte pour la suite ✊
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Une première date publique de ma conférence #UnblockedAndUnchained est confirmée et s'organise. Ce sera à l'Université Sorbonne Nouvelle #Paris3 début avril. Plus d'info bientôt ! #UnU
D'ici là, bonne #grève31janvier pour aujourd'hui et bonne lutte pour la suite ✊
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Une première date publique de ma conférence #UnblockedAndUnchained est confirmée et s'organise. Ce sera à l'Université Sorbonne Nouvelle #Paris3 début avril. Plus d'info bientôt ! #UnU
D'ici là, bonne #grève31janvier pour aujourd'hui et bonne lutte pour la suite ✊
-
Une première date publique de ma conférence #UnblockedAndUnchained est confirmée et s'organise. Ce sera à l'Université Sorbonne Nouvelle #Paris3 début avril. Plus d'info bientôt ! #UnU
D'ici là, bonne #grève31janvier pour aujourd'hui et bonne lutte pour la suite ✊
