Advancing a toolkit of diverse futures approaches for global environmental assessments
Pereira, Laura; Kuiper, Jan J.; Selomane, Odirilwe; Aguiar, Ana Paula D.; Asrar, Ghassem R.; Bennett, Elena M.; Biggs, Reinette; Calvin, Katherine; Hedden, Steve; Hsu, Angel; Jabbour, Jason; King, Nicholas; Köberle, Alexandre C.; Lucas, Paul; Nel, Jeanne; Norström, Albert V.; Peterson, Garry; Sitas, Nadia; Trisos, Christopher; van Vuuren, Detlef P.; Vervoort, Joost; Ward, James
(2021) Ecosystems and People, volume 17, issue 1, pp. 191 - 204
(Article)
Abstract
Global Environmental Assessments (GEAs) are in a unique position to influence environmental decision-making in the context of sustainability challenges. To do this effectively, however, new methods are needed to respond to the needs of decision-makers for a more integrated, contextualized and goal-seeking evaluation of different policies, geared for action from
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global to local. While scenarios are an important tool for GEAs to link short-term decisions and medium and long-term consequences, these current information needs cannot be met only through deductive approaches focused on the global level. In this paper, we argue that a more diverse set of futures tools operating at multiple scales are needed to improve GEA scenario development and analysis to meet the information needs of policymakers and other stakeholders better. Based on the literature, we highlight four challenges that GEAs need to be able to address in order to contribute to global environmental decision-making about the future: 1. anticipate unpredictable future conditions; 2. be relevant at multiple scales, 3. include diverse actors, perspectives and contexts; and 4. leverage the imagination to inspire action. We present a toolbox of future-oriented approaches and methods that can be used to effectively address the four challenges currently faced by GEAs.
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Keywords: futures, Global environmental assessments, Matthias Schröter, models, scenarios, SDG17 partnerships to achieve the Goal < UN sustainable development goals, SDGs, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Management, Monitoring, Policy and Law
ISSN: 2639-5908
Publisher: Taylor and Francis Ltd.
Note: Funding Information: This work is based on the research supported in part by the National Research Foundation of South Africa [Grant Numbers 115300; 98766]; the South African Research Chairs Initiative (SARChI) of the Department of Science and Technology, a Young Researchers Grant from the Vetenskapsr?det in Sweden [grant 621-2014-5137] and the Swedish Research Council FORMAS [Project Numbers 2018-02371; 1648301]. The authors would like to acknowledge funding from the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), which is carried out with support from the CGIAR Trust Fund and through bilateral funding agreements (See https://ccafs.cgiar.org/donors); as well as funding from the Programme on Climate Smart Livestock at ILRI, which was commissioned by GIZ and funded by the Government of the Federal Republic of Germany. The views expressed in this document cannot be taken to reflect the official positions of these organisations. Many thanks to the anonymous reviewers for their extremely useful insights and comments for strengthening this manuscript. Publisher Copyright: © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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