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Targeting climate finance for global forests.

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Meeting forest-based climate mitigation targets requires significant investment, but global coordination can double mitigation efforts at no extra cost. This optimizes climate finance for greater impact.

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Area of Science:

  • Environmental Science
  • Climate Change Economics
  • Forestry Management

Background:

  • Effective climate finance allocation requires comprehensive data on mitigation costs across sectors and regions.
  • Nationally Determined Contributions (NDCs) outline regional forest-based mitigation targets, but their cost-effectiveness varies.
  • Current commitments may not fully leverage regions with low-cost mitigation potential.

Purpose of the Study:

  • To estimate the financial investment needed to achieve regional forest-based mitigation targets derived from NDCs.
  • To analyze the potential for increased mitigation through global coordination of climate finance.
  • To inform future climate finance strategies and the development of enhanced NDCs.

Main Methods:

  • Estimating finance required for regional forest-based mitigation targets aggregated from NDCs.
  • Analyzing mitigation costs and potential under different carbon price scenarios (below $100/tonne CO2).
  • Modeling a global coordination scenario for optimal finance allocation and mitigation delivery.

Main Results:

  • Regions holding 70% of global forest carbon can meet their NDCs with carbon prices under $100/tonne CO2.
  • Annual investment of $20-72 billion is projected to be required by 2030 to meet regional targets.
  • A global coordination scenario could double 2030 mitigation compared to the NDC scenario at the same financial cost.

Conclusions:

  • Significant cost-effective forest mitigation potential exists beyond current national commitments.
  • Global coordination of climate finance can substantially enhance mitigation efficiency and scale.
  • Optimizing finance distribution based on cost-effectiveness is crucial for achieving ambitious climate goals and informing future NDCs.