Developing guidelines & frameworks - Resources

The purpose of this guide is to provide practical, step-by-step guidance on how governments and other national actors can mainstream climate change adaptation into national development planning as part of broader mainstreaming efforts.

This guide aims to provide an insight in to various questions about mainstreaming as well as provide a practical step-by-step framework on how to mainstream climate change into PICTs development plannimg and decision-making process. The approach recommended in this guide combines standard policy cycles that are commonly used in the Pacific and elsewhere round the world with analytical inputs from the climate risk management (CRM) framework.

This package presents eight adaptation notes that provide lessons learned, best practices, recommendations, and useful resources for integrating climate risk management and adaptation to climate change in development projects, with a focus on the agriculture and natural resource management sectors. Each note focuses on specific technical, institutional, economic, or social aspects of adaptation.

This document forms part of the “UNEP Manuals on Sustainable Tourism” and the UNWTO sustainable tourism policy guidebooks publication series, aiming to provide guidance to tourism stakeholders to integrate sustainability into their decision making processes and operation

This guidance note provides specific actions and tools to scale up and mainstream resilience in the Asian Development Bank’s water sector operations based on six mutually reinforcing pillars.

The United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) and the Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) developed this guide on mainstreaming disaster risk reduction and climate change adaptation for climate risk in the agriculture sector. Tailored to the Pacific context, these guidelines can be used by policymakers and practitioners in the agriculture sector to minimize risks and maximize potential gains associated with climate variability.