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Behavioral models of climate change adaptation and mitigation in land-based sectors

Brown, Calum ORCID iD icon; Alexander, Peter; Holzhauer, Sascha; Rounsevell, Mark D. A.


Models of the land system are essential to our understanding of the magnitude and impacts of climate change. These models are required to represent a large number of processes in different sectors, but face particular challenges in describing the individual and social behaviors that underpin climate change mitigation and adaptation. We assess descriptions of these behaviors in existing models, their commonalities and differences, and the uses to which they have been put. We find that behavioral models have a distinct and important role to play in climate research, but that they currently suffer from being strongly sectoral in nature, with agricultural models being the most common and behaviorally rich. There are also clear convergences, with economic-based decision-making remaining dominant and behaviors such as diffusion, inter- action, anticipation, or learning remaining relatively neglected. Active climate change is also rarely modeled, with adaptation and mitigation generally represented as responses to economic drivers under static climatic conditions. Furthermore, dynamic behaviors, objectives, or decision-making processes are almost entirely absent, despite their clear relevance to climate change responses. ... mehr

DOI: 10.1002/wcc.448
Zitationen: 49
Web of Science
Zitationen: 44
Zitationen: 54
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 1757-7780, 1757-7799
KITopen-ID: 1000080018
HGF-Programm 12.02.02 (POF III, LK 01) Vegetation climate- and land use system
Erschienen in Wiley interdisciplinary reviews / Climate change
Verlag John Wiley and Sons
Band 8
Heft 2
Seiten Art.Nr. e448
Vorab online veröffentlicht am 12.01.2017
Nachgewiesen in Scopus
Web of Science
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