Experts agreement on key elements of transformational adaptation to climate risks

DOI

This data is collected in the context of a NWO_VIDI project and aims to collect expert views on the key elements that constitute transformational adaptation to climate risks.

Experts on transformational adaptation to climate risks form a small but rapidly emerging group and the topic has gaine considerable interest in recent years.

Data collection took place via three rounds of surveys using Qualtrics software. In round one, experts rated the relevance of 27 elements, provided qualitative justifications for their ratings, and suggested missing elements. In round two, experts re-evaluated the elements for which there was little agreement in round 1, considering the controlled opinion feedback. All responses from round 1 were anonymized and summarized where needed by the researchers. Experts rated the relevance of a few additional elements that were suggested by multiple experts in round one. In the third round experts evaluated two definitional statements derived from earlier responses.

The Delphi panel comprised n=99 participants in Round1, n=64 in Round2, and n=52 in Round3. In Round1, participants included researchers (n=26), practitioners (n=27), mixed profiles (n=28), and those who preferred not to answer (n=18); the distribution was similar in subsequent rounds (Round2: n= 17, 17, 18, 12; Round3: n=15, 13, 15, 9). Regional foci were diverse, including Africa (Round2: n=10; Round3: n=7), the Americas (n=7; n=5), Asia/Middle East (n=5; n=4), Europe (n=12; n=10), and Oceania (n=4; n=3), while many reported no specific regional focus (n=24; n=21). Participants worked across multiple administrative levels, most commonly national (n=38; n=31) and local (n=43; n=34), followed by province (n=28; n=24), community (n=29; n=22), global (n=27; n=21), and regional (n=20; n=17).

WUR-REC, ethics approval number 2024-153

Identifier
DOI https://doi.org/10.17026/SS/WAWCQ4
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/SS/WAWCQ4
Provenance
Creator R. Biesbroek ORCID logo
Publisher DANS Data Station Social Sciences and Humanities
Contributor Biesbroek, Robbert
Publication Year 2026
Funding Reference NWO NWO VI.Vidi.211.132
Rights CC-BY-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Biesbroek, Robbert (Wageningen University)
Representation
Resource Type Delphi survey results; Dataset
Format text/tab-separated-values
Size 94083
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences