Exploring the usefulness of scenario archetypes in science-policy processes: experience across IPBES assessments
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Sitas N, Harmáčková ZV, Anticamara JA, Arneth A, Badola R, Biggs R, Blanchard R, Brotons L, Cantele M, Coetzer K, DasGupta R, den Belder E, Ghosh S, Guisan A, Gundimeda H, Hamann M, Harrison PA, Hashimoto S, Hauck J, Klatt BJ, Kok K, Krug RM, Niamir A, O'Farrell PJ, Pkayasu S, Palomo I, Pereira L, Riordan P, Santos-Martín F, Selomane O, Shin YJ, Valle M. 2019. Exploring the usefulness of scenario archetypes in science-policy processes: experience across IPBES assessments. Ecology and Society 24(3):35.
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Abstract/Description
Scenario analyses have been used in multiple science-policy assessments to better understand complex plausible futures. Scenario archetype approaches are based on the fact that many future scenarios have similar underlying storylines, assumptions, and trends in drivers of change, which allows for grouping of scenarios into typologies, or archetypes, facilitating comparisons between a large range of studies. The use of scenario archetypes in environmental assessments foregrounds important policy questions and can be used to codesign interventions tackling future sustainability issues. Recently, scenario archetypes were used in four regional assessments and one ongoing global assessment within the Intergovernmental Science-Policy Platform for Biodiversity and Ecosystem Services (IPBES). The aim of these assessments was to provide decision makers with policy-relevant knowledge about the state of biodiversity, ecosystems, and the contributions they provide to people. This paper reflects on the usefulness of the scenario archetype approach within science-policy processes, drawing on the experience from the IPBES assessments. Using a thematic analysis of (a) survey data collected from experts involved in the archetype analyses across IPBES assessments, (b) notes from IPBES workshops, and (c) regional assessment chapter texts, we synthesize the benefits, challenges, and frontiers of applying the scenario archetype approach in a science-policy process. Scenario archetypes were perceived to allow syntheses of large amounts of information for scientific, practice-, and policy-related purposes, streamline key messages from multiple scenario studies, and facilitate communication of them to end users. In terms of challenges, they were perceived as subjective in their interpretation, oversimplifying information, having a limited applicability across scales, and concealing contextual information and novel narratives. Finally, our results highlight what methodologies, applications, and frontiers in archetype-based research should be explored in the future. These advances can assist the design of future large-scale sustainability-related assessment processes, aiming to better support decisions and interventions for equitable and sustainable futures.
Author ORCID identifiers
Zuzana V. Harmáčková https://orcid.org/0000-0001-7711-4135
Jonathan Anticamara https://orcid.org/0000-0001-9672-8845
Almut Arneth https://orcid.org/0000-0001-6616-0822
Ruchi Badola https://orcid.org/0000-0001-7124-5134
Reinette Biggs https://orcid.org/0000-0003-0300-4149
Ryan Blanchard https://orcid.org/0000-0002-3560-4133
Lluís Brotons https://orcid.org/0000-0002-4826-4457
Matthew Cantele https://orcid.org/0000-0003-3729-1764
Kaera Coetzer https://orcid.org/0000-0001-5176-7859
Rajarshi DasGupta https://orcid.org/0000-0003-1944-0893
Eefje den Belder https://orcid.org/0000-0003-2480-5148
SONALI GHOSH https://orcid.org/0000-0001-8917-5533
Antoine Guisan https://orcid.org/0000-0002-3998-4815
Haripriya Gundimeda https://orcid.org/0000-0003-0418-0961
Maike Hamann https://orcid.org/0000-0003-2906-4043
Paula Harrison https://orcid.org/0000-0002-9873-3338
Shizuka Hashimoto https://orcid.org/0000-0003-4423-9374
Jennifer Hauck https://orcid.org/0000-0002-1614-9657
Kasper Kok https://orcid.org/0000-0002-6319-9227
Rainer M Krug https://orcid.org/0000-0002-7490-0066
Dr Aidin Niamir https://orcid.org/0000-0003-4511-3407
Patrick O'Farrell https://orcid.org/0000-0002-9538-8831
Sana Okayasu https://orcid.org/0000-0002-6534-0458
Ignacio Palomo https://orcid.org/0000-0002-4573-5989
Laura Pereira https://orcid.org/0000-0002-4996-7234
Philip Riordan https://orcid.org/0000-0001-6285-8596
Odirilwe Selomane https://orcid.org/0000-0002-6892-4221
Yunne-Jai Shin https://orcid.org/0000-0002-7259-9265
Mireia Valle https://orcid.org/0000-0001-8517-8518
