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Environment

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Natural environment
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Environment
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Briefing paper

Wrong reaction: why ‘next-generation’ nuclear is not a credible energy solution


The pressing need to transition from fossil fuel energy to a low carbon future has seen renewed calls for domestic nuclear power in Australia’s political arena. This paper explores the global status of Small Modular Reactors and wider ‘next-generation’ nuclear technology and explores whether this technology is fit for purpose in Australia.
Strategy

Threatened species action plan 2022-2032


This action plan maps a pathway to recovery for Australia's nation’s threatened wildlife - spanning terrestrial, marine and freshwater environments. It presents a vision to drive practical, on-the-ground efforts, and identifies critical action for the recovery of threatened species and ecological communities guided by experts and the Australian public.
Policy report

Lessons from the history of UK environmental policy


This report aims to provide policy-makers with an opportunity to revisit, review and reflect on environmental policies in the United Kingdom over the years. In doing so, the intention is that lessons can be learnt from the successes and failures of previous environmental policies.
Report

Raising the bar: managing climate change risk in public authorities


This report recommends clear, transparent policy direction for public authority directors. This will hopefully enable public authorities to contribute to a whole-of-government picture of climate risk that meets and raises the standards that apply to all organisations, public and private, in discovering, disclosing and addressing climate risk.
Policy report

Why climate policy scenarios are important, how to use them, and what has been learned


In response to climate uncertainty, researchers, businesses and policy-makers are turning to scenario analysis. The authors of this paper argue that greater use of models will help policy-makers understand the range of uncertainties and the sensitivity of policy outcomes, based on different model assumptions.