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A behavioral change approach to understanding true demand for future climate information

Rüsenberg, Fabian; Fleischhut, Nadine 1
1 Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)

Abstract:

There is a persistent gap between the supply of and demand for future climate information in adaptation decision-making. Despite various proposed solutions, including climate services and co-production, this gap remains unbridged. Here, we present a systematic sectoral analysis grounded in behavioral theory, exploring where and how climate information could support decision-making. Drawing on the COM-B framework for behavior (B) change, we examine the capabilities (C), opportunities (O), and motivation (M) necessary for climate information to inform decision-making, focusing on two climate-sensitive sectors in Germany—agriculture and forestry—and on decadal predictions as an example. Through expert focus groups (N = 24 participants), we identify key adaptation decisions for the coming decade and analyze current decision strategies and contexts. Our findings reveal that the demand for decadal predictions is negatively impacted by knowledge gaps, lack of opportunity, and limited motivation. Instead, decision-makers often rely on strategies such as past experience and heuristics like worst-case planning that do not require precise information, but may represent smart strategies for uncertain environments. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000193021
Veröffentlicht am 07.05.2026
Originalveröffentlichung
DOI: 10.1007/s10584-026-04163-y
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2026
Sprache Englisch
Identifikator ISSN: 0165-0009, 1573-1480
KITopen-ID: 1000193021
Erschienen in Climatic Change
Verlag Springer
Band 179
Heft 5
Seiten Art.Nr: 101
Vorab online veröffentlicht am 28.04.2026
Schlagwörter Climate adaptation, Decision-making, Uncertainty, Climate services, Climate predictions, Useful information, Co-production
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