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.

“I suspect the industry saw this as a fundamental threat to their future … A few years ago everybody was kind of jumping on the net zero bandwagon without actually thinking through what it actually meant,” he said.

The CSIRO found the industry would fall short of meeting its net zero target, and instead recommended the adoption of a “climate-neutral” target that would require a reduction of methane emissions rather their complete elimination.

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    10 months ago

    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!