Meat and Livestock Australia announced a 2030 net zero target in 2017, which experts say is ‘effectively not possible’
If only there was a group of elected officials who could legislate and regulate industries who hurtle us towards extinction in the quest for unending profit. Wishful thinking I suppose
There really isn’t. The only time real, substantial change has ever come from the legislature has been when organised movements have come together to make them afraid of losing their positions of power, and they’ve been forced to make concessions to preserve themselves.
When they do make those concessions, they make sure to add as much friction as possible to slow the rate of progress and give us the minimum they can get away with.
So like… maybe we don’t actually need them. Maybe we should stop asking their permission to make the world better.
Well, if they say so…
This is the best summary I could come up with:
The industry body announced the goal in 2017 and has promoted it to both regulators and consumers, so far investing $180m towards research and development for ways to cut emissions associated with animal production to net zero.
But it said the reported reductions have been driven by a decrease in land clearing and an increase in forest regrowth, as recorded by Australia’s national carbon accounting system.
In Queensland, where more than 40% of the national cattle herd resides, the 2020-21 statewide landcover and trees study reported significantly higher rates of deforestation than the NCAS data.
This includes feeding cows seaweed based additives, but one of the longest commercial trials failed to meet hoped-for methane cuts and led to the animals eating less food.
Prof Mark Howden, the director of the Australian National University Institute for Climate, Energy and Disaster Solutions, said the sector’s net zero target is “effectively not possible”.
“It’s pretty well embedded in the public consciousness that red meat is high profile in terms of greenhouse gas emissions per serve,” Howden said.
The original article contains 609 words, the summary contains 174 words. Saved 71%. I’m a bot and I’m open source!
