Logo image
Dynamic adaptive pathways in downscaled climate change scenarios
Journal article   Open access   Peer reviewed

Dynamic adaptive pathways in downscaled climate change scenarios

N A Cradock-Henry, B Frame, Benjamin Preston, A Reisinger and D S Rothman
Climatic Change, Vol.150(3-4), pp.333-341
2018
pdf
PDF - Published Version (Open Access)626.44 kBDownloadView
Published VersionPDF - Published Version (Open Access)CC BY V4.0 Open Access
url
https://doi.org/10.1007/s10584-018-2270-7View
Published Version

Abstract

The parallel scenario process enables characterization of climate-related risks and response options to climate change under different socio-economic futures and development prospects. The process is based on representative concentration pathways, shared socio-economic pathways, and shared policy assumptions. Although this scenario architecture is a powerful tool for evaluating the intersection of climate and society at the regional and global level, more specific context is needed to explore and understand risks, drivers, and enablers of change at the national and local level. We discuss the need for a stronger recognition of such national-scale characteristics to make climate change scenarios more relevant at the national and local scale, and propose ways to enrich the scenario architecture with locally relevant details that enhance salience, legitimacy, and credibility for stakeholders. Dynamic adaptive pathways are introduced as useful tools to draw out which elements of a potentially infinite scenario space connect with decisionrelevant aspects of particular climate-related and non-climate-related risks and response options. Reviewing adaptation pathways for New Zealand case studies, we demonstrate how this approach could bring the global-scale scenario architecture within reach of local-scale decision-making. Such a process would enhance the utility of scenarios for mapping climate-related risks and adaptation options at the local scale, involving appropriate stakeholder involvement.

Details

Metrics

3 File views/ downloads
79 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Environmental Sciences
Meteorology & Atmospheric Sciences

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#2 Zero Hunger
#11 Sustainable Cities and Communities
#13 Climate Action
#14 Life Below Water
#15 Life on Land

Source: InCites

Logo image