Supporting data for: Unpacking intermunicipal climate adaptation networks in Arctic Norway

DOI

This dataset supports the study "Unpacking intermunicipal climate adaptation networks in Arctic Norway". This study investigates how intermunicipal networks support climate change adaptation (CCA) in Arctic Norway, where municipalities face both limited capacity and accelerating climate risks. Drawing on survey data and a boundary-spanning framework, we categorize network activity across four dimensions: organizational form, adaptation focus, risk type, and priority level. Our findings reveal strong regional clustering, particularly in the Lyngenfjord region, and show that CCA is often a secondary objective within networks primarily concerned with spatial planning and risk management. Network participation is typically homogenous, which limits temporal boundary spanning and constrains efforts toward more transformative adaptation. We argue that national legislation reinforces institutional path dependencies, steering municipal collaboration toward compliance-oriented, siloed approaches. The analysis highlights the need for more diverse and holistic forms of cooperation to overcome these structural limitations and support long-term, systemic adaptation in Arctic governance contexts.

Identifier
DOI https://doi.org/10.18710/F5VSUZ
Related Identifier IsSupplementedBy https://doi.org/10.1108/IJCCSM-09-2025-0334
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/F5VSUZ
Provenance
Creator de Korte, Laurien ORCID logo; Ashrafi, Behrooz; Hamnevoll, Helle; Løver, Synnøve Dahl ORCID logo; Sydnes, Are ORCID logo; Bartoszewicz , Monika Gabriela ORCID logo
Publisher DataverseNO
Contributor de Korte, Laurien; Sydnes, Are; UiT The Arctic University of Norway
Publication Year 2026
Funding Reference UiT The Arctic University of Norway
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact de Korte, Laurien (UiT The Arctic University of Norway); Sydnes, Are (UiT The Arctic University of Norway)
Representation
Resource Type Survey data; Dataset
Format text/plain; text/comma-separated-values; application/pdf
Size 4991; 4113; 4114; 4109; 93029
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Earth and Environmental Science; Environmental Research; Geosciences; Life Sciences; Natural Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences