Strengthening science-based and climate-informed decision‚making processes in Mauritius climate-sensitive sectors for impactful and cost-effective climate change programming

The document outlines a 24-month readiness project for Mauritius, implemented by the Organisation of African, Caribbean and Pacific States (OACPS). It aims to bridge the 'usability gap' where national experts struggle to translate scientific evidence into actionable climate interventions. The project focuses on creating a functional climate service network, developing data collection tools, and training stakeholders to integrate climate science into sectoral policies and GCF funding applications. Key target sectors include agriculture, water resources, and coastal zones. The proposal also emphasizes gender mainstreaming, aiming for 50% female representation in working groups and training, and includes a regional exchange visit to the Secretariat of the Pacific Regional Environment Programme (SPREP) in Samoa.

• Mauritius faces significant climate risks, including sea-level rise that has accelerated to an average rate of 5.6mm/year since 2003, and an increase in tropical cyclone frequency, with the average annual number of cyclones doubling between 1960 and 2009.
• The country experiences severe economic losses from climate events; tropical cyclones are projected to cause approximately 91 million USD in direct annual losses, while flooding causes an average of 22 million USD in yearly direct losses.
• A critical 'Usability Gap' exists in Mauritius, where national experts struggle to translate scientific evidence into information that supports climate change interventions in sensitive sectors.
• The project identifies three primary technical and capacity gaps: a lack of applicable scientific data for decision-making, insufficient human resources to manage climate programming, and the absence of a structured database for multi-sectoral climate information.
• Gender inequality persists in Mauritius, with women facing higher unemployment rates (10.1%) than the general population (6.9%) and earning lower average monthly incomes (Rs 19,100 compared to Rs 25,100 for men in 2019).
• The proposed intervention will establish an ad hoc gender-balanced working group and a statistical unit to bridge the gap between data researchers and decision-makers.
• The project aims to develop specific programming tools, including 'Impact Models' to analyze the correlation between climatic changes and economic growth, and cost-benefit analysis models to assess the efficiency of climate interventions.
• The project will leverage the regional ClimSA (INTRA-ACP CLIMATE SERVICES & RELATED APPLICATIONS PROGRAMME) to improve the production and application of science-based climate predictions tailored to the Mauritius context.

APA

Green Climate Fund (2022). Strengthening science-based and climate-informed decision‚making processes in Mauritius climate-sensitive sectors for impactful and cost-effective climate change programming. https://www.greenclimate.fund/sites/default/files/document/20221104-mus005-proposal.pdf

Chicago

Green Climate Fund. Strengthening science-based and climate-informed decision‚making processes in Mauritius climate-sensitive sectors for impactful and cost-effective climate change programming. 2022. https://www.greenclimate.fund/sites/default/files/document/20221104-mus005-proposal.pdf.

Wikipedia

{{cite report |author=Green Climate Fund |title=Strengthening science-based and climate-informed decision‚making processes in Mauritius climate-sensitive sectors for impactful and cost-effective climate change programming |date=16 June 2022 |url=https://www.greenclimate.fund/sites/default/files/document/20221104-mus005-proposal.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{greenclimatefund2022strengthening, author = {{Green Climate Fund}}, title = {{Strengthening science-based and climate-informed decision‚making processes in Mauritius climate-sensitive sectors for impactful and cost-effective climate change programming}}, institution = {Green Climate Fund}, year = {2022}, month = jun, url = {https://www.greenclimate.fund/sites/default/files/document/20221104-mus005-proposal.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }