Rangelands’ ‘silent demise’ threatens climate, food, wellbeing of billions
UN Convention to Combat Desertification, Bonn Bonn/Ulaanbaatar – Degradation of Earth’s extensive, often immense natural pastures and other rangelands due to […]
COVID, wildfires, heat waves underline need for better air quality norms in schools, child care
CDN Partnership for Children’s Health and Environment (CPCHE) / CDN Environmental Law Association On Healthy Environments for Learning Day, environmental
Electronic waste generation rising 5 times faster than recycling: UN
UNITAR, Bonn, and International Telecommunication Union, Geneva A record 62 million tonnes (Mt) of e-waste was produced in 2022, Up
Landmark UN report reveals shocking state of world’s migratory animals
United Nations Convention on Migratory Species, Bonn Germany The first-ever State of the World’s Migratory Species report was launched today by the
Drought data shows “an unprecedented emergency on a planetary scale”: UN
United Nations Convention to Combat Desertification, Bonn UNCCD launches ‘Global Drought Snapshot’ report at COP28 in collaboration with International Drought
Sand and dust storm frequency increasing in many world regions: UN
United Nations Convention to Combat Desertification, Bonn Two billion tons of sand and dust, equal in weight to 350 Great
UN Warns of 6 Risk Tipping Points Threatening the Environment, Security
UNU Institute for Environment and Human Security A United Nations University report finds that drastic changes are approaching if risks
Leading scientists, philosophers identify nature’s missing evolutionary law
Carnegie Science, Washington DC Evolution of plants, animals: “A very special case within a far larger natural phenomenon.” Similar marvels
‘Invisible’ E-Waste: ~$10B in essential raw materials recoverable in world’s annual mountain of e-toys, cables, vapes, more
WEEE Forum, Brussels, Belgium Every year, unused cables, electronic toys, LED-decorated novelty clothes, power tools, vaping devices, and countless other
Did life exist on Mars? Other planets? With AI’s help, we may know soon
Carnegie Science, Washington DC ‘Holy Grail of astrobiology’: Machine learning technique reveals a sample’s biological or non-biological origin with 90%